statistiche ricercatore

Continente	#
EU - Europa	849
AS - Asia	814
NA - Nord America	772
SA - Sud America	96
Continente sconosciuto - Info sul continente non disponibili	51
AF - Africa	20
Totale	2.602

Nazione	#
US - Stati Uniti d'America	731
IT - Italia	445
SG - Singapore	237
VN - Vietnam	233
CN - Cina	143
RU - Federazione Russa	101
BR - Brasile	79
DE - Germania	76
GB - Regno Unito	40
KR - Corea	40
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
PR - Porto Rico	3
PY - Paraguay	3
SI - Slovenia	3
UA - Ucraina	3
AE - Emirati Arabi Uniti	2
EC - Ecuador	2
GR - Grecia	2
HN - Honduras	2
MA - Marocco	2
MW - Malawi	2
NP - Nepal	2
PE - Perù	2
SA - Arabia Saudita	2
SN - Senegal	2
AL - Albania	1
AZ - Azerbaigian	1
BY - Bielorussia	1
CR - Costa Rica	1
CZ - Repubblica Ceca	1
DO - Repubblica Dominicana	1
ET - Etiopia	1
GA - Gabon	1
GE - Georgia	1
GY - Guiana	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
MK - Macedonia	1
MZ - Mozambico	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	2.551

Nome	#
IDDA: A Large-Scale Multi-Domain Dataset for Autonomous Driving	282
IDDA: A Large-Scale Multi-Domain Dataset for Autonomous Driving	254
Learn to Generalize and Adapt across Domains in Semantic Segmentation	226
Incremental Learning in Semantic Segmentation from Image Labels	210
Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model	198
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images	196
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning	192
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving	190
Hierarchical Instance Mixing across Domains in Aerial Segmentation	187
Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images	180
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation	174
Learning Semantics for Visual Place Recognition Through Multi-scale Attention	159
Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic Segmentation	154
Totale	2.602

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2021/2022	229	0	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	1.135	89	46	61	110	65	69	177	94	220	131	28	45
2026/2027	32	20	12	0	0	0	0	0	0	0	0	0	0
Totale													2.602

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