statistiche ricercatore

Nazione	#
US - Stati Uniti d'America	708
IT - Italia	441
SG - Singapore	235
VN - Vietnam	233
CN - Cina	143
RU - Federazione Russa	101
BR - Brasile	79
DE - Germania	76
KR - Corea	40
GB - Regno Unito	39
FR - Francia	38
HK - Hong Kong	32
FI - Finlandia	29
IN - India	26
BE - Belgio	23
CA - Canada	23
IE - Irlanda	22
NL - Olanda	15
TR - Turchia	13
CH - Svizzera	11
ID - Indonesia	11
BD - Bangladesh	10
IQ - Iraq	10
JP - Giappone	10
MX - Messico	10
PH - Filippine	10
SE - Svezia	7
AR - Argentina	6
PL - Polonia	6
MY - Malesia	5
PK - Pakistan	5
RO - Romania	5
TH - Thailandia	5
TW - Taiwan	5
ZA - Sudafrica	5
AT - Austria	4
ES - Italia	4
LT - Lituania	4
BG - Bulgaria	3
EG - Egitto	3
IR - Iran	3
KE - Kenya	3
PY - Paraguay	3
SI - Slovenia	3
UA - Ucraina	3
AE - Emirati Arabi Uniti	2
EC - Ecuador	2
GR - Grecia	2
MA - Marocco	2
MW - Malawi	2
PE - Perù	2
PR - Porto Rico	2
SA - Arabia Saudita	2
SN - Senegal	2
AL - Albania	1
AZ - Azerbaigian	1
BY - Bielorussia	1
CZ - Repubblica Ceca	1
DO - Repubblica Dominicana	1
ET - Etiopia	1
GA - Gabon	1
GE - Georgia	1
GY - Guiana	1
HN - Honduras	1
HU - Ungheria	1
IL - Israele	1
JO - Giordania	1
KG - Kirghizistan	1
KW - Kuwait	1
KY - Cayman, isole	1
LK - Sri Lanka	1
LU - Lussemburgo	1
MZ - Mozambico	1
NP - Nepal	1
OM - Oman	1
PS - Palestinian Territory	1
RS - Serbia	1
SK - Slovacchia (Repubblica Slovacca)	1
SR - Suriname	1
UY - Uruguay	1
UZ - Uzbekistan	1
VE - Venezuela	1
Totale	2.516

Nome	#
IDDA: A Large-Scale Multi-Domain Dataset for Autonomous Driving	277
IDDA: A Large-Scale Multi-Domain Dataset for Autonomous Driving	251
Learn to Generalize and Adapt across Domains in Semantic Segmentation	220
Incremental Learning in Semantic Segmentation from Image Labels	209
Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model	196
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning	192
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images	191
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving	188
Hierarchical Instance Mixing across Domains in Aerial Segmentation	184
Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images	177
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation	173
Learning Semantics for Visual Place Recognition Through Multi-scale Attention	158
Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic Segmentation	151
Totale	2.567

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2020/2021	6	0	0	0	0	0	0	0	0	0	0	0	6
2021/2022	232	3	4	38	41	4	2	7	7	10	10	74	32
2022/2023	336	20	45	40	43	33	29	13	28	51	7	10	17
2023/2024	279	21	36	18	19	43	39	22	14	10	16	20	21
2024/2025	513	18	71	7	78	45	64	45	41	41	18	38	47
2025/2026	1.132	89	46	61	110	65	69	177	94	220	131	28	42
Totale													2.567

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