| Nome |
# |
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Cluster-driven Graph Federated Learning over Multiple Domains, file e384c433-7fd7-d4b2-e053-9f05fe0a1d67
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65
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DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation, file e384c433-d34f-d4b2-e053-9f05fe0a1d67
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59
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A Survey on Deep Visual Place Recognition, file 0c1c12f9-b131-42b1-9da4-a2dfdf56103d
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58
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One-Shot Unsupervised Cross-Domain Detection, file e384c432-6a9b-d4b2-e053-9f05fe0a1d67
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58
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Leveraging over depth in egocentric activity recognition, file e384c432-72d9-d4b2-e053-9f05fe0a1d67
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37
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PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition, file e384c433-dec4-d4b2-e053-9f05fe0a1d67
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37
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Unsupervised Domain Adaptation through Inter-Modal Rotation for RGB-D Object Recognition, file e384c432-4145-d4b2-e053-9f05fe0a1d67
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34
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Unsupervised Domain Adaptation Through Inter-Modal Rotation for RGB-D Object Recognition, file e384c432-42b0-d4b2-e053-9f05fe0a1d67
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34
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Learning categories from few examples with multi model knowledge transfer, file e384c430-7565-d4b2-e053-9f05fe0a1d67
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33
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Self-Supervised Joint Encoding of Motion and Appearance for First Person Action Recognition, file e384c433-65d8-d4b2-e053-9f05fe0a1d67
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30
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Self-Supervised Learning Across Domains, file e384c433-dca7-d4b2-e053-9f05fe0a1d67
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28
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Viewpoint Invariant Dense Matching for Visual Geolocalization, file e384c434-1066-d4b2-e053-9f05fe0a1d67
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28
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Boosting Deep Open World Recognition by Clustering, file e384c432-898d-d4b2-e053-9f05fe0a1d67
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27
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Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach, file e384c434-5914-d4b2-e053-9f05fe0a1d67
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25
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Modeling the Background for Incremental Learning in Semantic Segmentation, file e384c432-524f-d4b2-e053-9f05fe0a1d67
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24
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CLEF2007 image annotation task: An SVM-based cue integration approach, file e384c430-dca7-d4b2-e053-9f05fe0a1d67
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22
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Hallucinating Agnostic Images to Generalize Across Domains, file e384c431-8bb8-d4b2-e053-9f05fe0a1d67
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20
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Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients, file e384c434-98fd-d4b2-e053-9f05fe0a1d67
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20
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A deeper look at dataset bias, file e384c432-8cb0-d4b2-e053-9f05fe0a1d67
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17
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Incremental Learning in Semantic Segmentation from Image Labels, file e384c434-98fc-d4b2-e053-9f05fe0a1d67
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17
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A Closer Look at Self-training for Zero-Label Semantic Segmentation, file e384c433-f752-d4b2-e053-9f05fe0a1d67
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16
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Boosting Domain Adaptation by Discovering Latent Domains, file e384c430-999c-d4b2-e053-9f05fe0a1d67
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15
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The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots, file e384c431-ed07-d4b2-e053-9f05fe0a1d67
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14
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Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images, file 647034bc-873e-43ba-b57f-6bf4a3bf8950
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13
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(DE)2CO: Deep Depth Colorization, file e384c430-767e-d4b2-e053-9f05fe0a1d67
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12
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Digital mammography: A weak continuity texture representation for detection of microcalcifications, file e384c431-97b9-d4b2-e053-9f05fe0a1d67
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12
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On the Visuomotor Behavior of Amputees and Able-Bodied People During Grasping, file e384c431-953f-d4b2-e053-9f05fe0a1d67
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10
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Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic Segmentation, file d3a08bbd-7d1b-4e8a-a944-6ba5ab65eed3
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9
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Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach, file 8d20da80-7310-490d-9aa2-0530db33e985
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8
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Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation, file e384c434-0fc2-d4b2-e053-9f05fe0a1d67
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8
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IDDA: A Large-Scale Multi-Domain Dataset for Autonomous Driving, file e384c432-7f41-d4b2-e053-9f05fe0a1d67
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7
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Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation, file e384c434-3c41-d4b2-e053-9f05fe0a1d67
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7
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PoliTO-IIT-CINI Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition, file 53be026d-bc7b-4315-9458-1b0dd0f0bfad
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6
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FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving, file 5c7c3237-e8cb-44c9-af8a-f64340b863e4
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6
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Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning, file 9fb51210-215d-4984-b227-b26de40adb7d
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6
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Robust Place Categorization With Deep Domain Generalization, file e384c430-7566-d4b2-e053-9f05fe0a1d67
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6
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Domain generalization through audio-visual relative norm alignment in first person action recognition, file e5290a45-b574-4a35-9736-1405e6259cf0
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6
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Deep Visual Geo-Localization Benchmark, file 35e1defa-e049-43dd-96de-36a67591426d
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5
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Relative Norm Alignment for Tackling Domain Shift in Deep Multi-modal Classification, file 6c36d37f-020f-4ec9-8ce3-f686ff383102
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5
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IDDA: A Large-Scale Multi-Domain Dataset for Autonomous Driving, file 8798affc-9d0e-4363-a1d3-16c559a35d3b
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5
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Modeling Missing Annotations for Incremental Learning in Object Detection, file cd9732d9-4d46-4b28-a20d-edc432781586
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5
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Unsupervised Domain Adaptation through Inter-Modal Rotation for RGB-D Object Recognition, file e384c432-7cc1-d4b2-e053-9f05fe0a1d67
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5
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Modeling the Background for Incremental Learning in Semantic Segmentation, file e384c432-86d6-d4b2-e053-9f05fe0a1d67
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5
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On the Challenges of Open World Recognition under Shifting Visual Domains, file 986017e3-ae50-41ea-9d60-2e5feec7139e
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4
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Toward human-robot cooperation: unsupervised domain adaptation for egocentric action recognition, file c42850d7-59e2-4a87-9d2f-149836e77cc5
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4
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EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge: Mixed Sequences Prediction, file e26c0dca-dbde-4c5b-b58d-929a3bf4c983
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4
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On the Challenges of Open World Recognition under Shifting Visual Domains, file e384c433-d86e-d4b2-e053-9f05fe0a1d67
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4
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Bringing Online Egocentric Action Recognition Into the Wild, file e5654972-5b63-40b1-bb92-a4c6d546ff95
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4
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EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition, file e76e57c1-b077-4b32-831f-11416dc61cbf
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4
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E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition, file 1f327e27-e71f-4866-9c2c-1d66715e27c6
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3
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JIST: Joint Image and Sequence Training for Sequential Visual Place Recognition, file 2762377d-fd10-4fea-bcec-fc7830e91010
|
3
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Rethinking Visual Geo-localization for Large-Scale Applications, file 344642d3-0882-4850-b239-a66d79db16e7
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3
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Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients, file 4e210ddf-23fd-41e4-85e3-f8bdc3deeaa7
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3
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Self-supervision & meta-learning for one-shot unsupervised cross-domain detection, file 60b85ac0-5981-49cb-a1b0-4341514b0942
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3
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Improving Generalization in Federated Learning by Seeking Flat Minima, file 8bc2bd70-40f9-43e7-9e3e-454788e0f153
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3
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Prototype-based Incremental Few-Shot Segmentation, file 9abd867a-26df-42e9-a60a-63d27eee38c3
|
3
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Entropic Score Metric: Decoupling Topology and Size in Training-Free NAS, file b0b55f23-b40b-4e14-9c6f-49e8301ab659
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3
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Improving control of dexterous hand prostheses using adaptive learning, file e384c430-dfa4-d4b2-e053-9f05fe0a1d67
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3
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Recurrent convolutional fusion for RGB-D object recognition, file e384c431-bc61-d4b2-e053-9f05fe0a1d67
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3
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A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images, file e384c434-73ea-d4b2-e053-9f05fe0a1d67
|
3
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Domain generalization through audio-visual relative norm alignment in first person action recognition, file f1826019-dd6a-46f8-b0b8-0a37fcbe5fc9
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3
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Test Time Adaptation for Egocentric Vision, file 019ab745-cdf1-4411-acc7-2e96c1b5fd48
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2
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Self-supervision & meta-learning for one-shot unsupervised cross-domain detection, file 02e4c524-0d78-4f52-8dfe-1232a30e0c3d
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2
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What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations, file 0ea3c1b7-4403-4bb1-ac5d-6457d6dd7853
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2
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Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning, file 1043357d-e7ab-4153-8d60-f106da24c487
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2
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FreeREA: Training-Free Evolution-based Architecture Search, file 15979ebd-c6b8-43b8-9f84-68d540abd87b
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2
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Are Local Features All You Need for Cross-Domain Visual Place Recognition?, file 1719ae54-c0cd-4bd6-b833-17be1bbb0be6
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2
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Safety in numbers: learning categories from few examples with multi model knowledge transfer, file 811c6452-13fd-4a52-acfc-b9da76d4bf8f
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2
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Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model, file 9e230841-fa2d-4cd1-980a-1317d6f2ab77
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2
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Domain Generalization by Solving Jigsaw Puzzles, file a21adb81-7fa7-4c8a-aa37-7c9e2e6bdd9e
|
2
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Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation, file af643bf9-b6f2-4f10-be99-91af9ca15674
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2
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FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving, file b25bfcbb-9e08-4f5d-a8f7-314390ad423d
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2
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Toward human-robot cooperation: unsupervised domain adaptation for egocentric action recognition, file b329709e-5352-48c9-ba97-77907cfea9cb
|
2
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|
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation, file b8882c46-f9fd-47d2-842b-507b2cdf2df8
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2
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Leveraging over depth in egocentric activity recognition, file d103190a-3d30-4a2a-ad29-ea79cc6e8d8e
|
2
|
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JIST: Joint Image and Sequence Training for Sequential Visual Place Recognition, file df061c1f-50e1-4ff7-ba22-1b89777dbc65
|
2
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Overview of the CLEF 2009 medical image annotation track, file e384c430-756d-d4b2-e053-9f05fe0a1d67
|
2
|
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Boosting Deep Open World Recognition by Clustering, file e384c432-4381-d4b2-e053-9f05fe0a1d67
|
2
|
|
Learning methods for melanoma recognition, file e384c434-6881-d4b2-e053-9f05fe0a1d67
|
2
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Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation, file e384c434-8f22-d4b2-e053-9f05fe0a1d67
|
2
|
|
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning, file e9a0e65d-27f5-434c-97c8-7fbead4c0536
|
2
|
|
Test-Time Adaptation for~Egocentric Action Recognition, file f3d52068-d526-4a1e-aa1c-d82d1023a57b
|
2
|
|
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation, file 097c1938-5910-4041-a6af-5bf522aefbde
|
1
|
|
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning, file 0af8bd57-c19f-41f7-a0d7-377ba823aef1
|
1
|
|
Improving Generalization in Federated Learning by Seeking Flat Minima, file 0b79170c-a4ef-4ab1-a818-7fb62c25cd33
|
1
|
|
Relaxing the Forget Constraints in Open World Recognition, file 1261bcfd-e062-4085-8ca6-16c7341eeab1
|
1
|
|
Divide&Classify: Fine-Grained Classification for City-Wide Visual Place Recognition, file 16bbbe61-7e2b-48fd-9bbc-c8d49d7d4c15
|
1
|
|
Domain Generalization by Solving Jigsaw Puzzles, file 2815d335-8881-4a10-ab0e-fe46d2d20002
|
1
|
|
Unmasking Anomalies in Road-Scene Segmentation, file 3a4e44d2-c386-44df-9f38-bd21f3ea040a
|
1
|
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Deep Visual Geo-Localization Benchmark, file 4838ecfc-f748-4142-aee2-a834277aa1cd
|
1
|
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Divide&Classify: Fine-Grained Classification for City-Wide Visual Place Recognition, file 4fe4e73b-48dc-49de-bf97-632ffd7f1e7c
|
1
|
|
Hierarchical Instance Mixing across Domains in Aerial Segmentation, file 531355a1-bcc8-4f25-a36c-90730df51603
|
1
|
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LCMV: Lightweight Classification Module for Video Domain Adaptation, file 607bbada-bbf0-4e78-8f69-1aaffe2631b8
|
1
|
|
Entropic Score Metric: Decoupling Topology and Size in Training-Free NAS, file 68c216f5-51ad-4e13-8a6c-59c7f8e75874
|
1
|
|
Unmasking Anomalies in Road-Scene Segmentation, file 69635909-c2d8-449f-ad89-a968098ef38f
|
1
|
|
E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition, file 75750727-64a8-4f0d-b8d7-5841ea16a7e2
|
1
|
|
Test-Time Adaptation for~Egocentric Action Recognition, file 7bbe6f2f-788f-46ab-8698-25b7a5f8ca12
|
1
|
|
LCMV: Lightweight Classification Module for Video Domain Adaptation, file 7f2235d7-29df-4445-a70d-7f523e462535
|
1
|
|
Learning Semantics for Visual Place Recognition Through Multi-scale Attention, file 98c80cdb-1095-46db-92ae-e2f26c5de3cc
|
1
|
|
Rethinking Visual Geo-localization for Large-Scale Applications, file bc560e7b-505d-4d8e-9aec-cf6612c7d8a6
|
1
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| Totale |
984 |
Archivio Istituzionale della Ricerca