statistiche ricercatore

Continente	#
NA - Nord America	868
EU - Europa	863
AS - Asia	816
SA - Sud America	98
Continente sconosciuto - Info sul continente non disponibili	51
AF - Africa	20
Totale	2.716

Nazione	#
US - Stati Uniti d'America	823
IT - Italia	452
SG - Singapore	238
VN - Vietnam	233
CN - Cina	144
RU - Federazione Russa	101
BR - Brasile	81
DE - Germania	77
GB - Regno Unito	42
KR - Corea	40
FR - Francia	38
HK - Hong Kong	32
FI - Finlandia	29
IN - India	26
CA - Canada	25
BE - Belgio	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	8
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
PR - Porto Rico	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
DK - Danimarca	2
EC - Ecuador	2
GR - Grecia	2
HN - Honduras	2
HU - Ungheria	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
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
VG - Isole Vergini Britanniche	1
Totale	2.665

Nome	#
IDDA: A Large-Scale Multi-Domain Dataset for Autonomous Driving	294
IDDA: A Large-Scale Multi-Domain Dataset for Autonomous Driving	262
Learn to Generalize and Adapt across Domains in Semantic Segmentation	244
Incremental Learning in Semantic Segmentation from Image Labels	220
Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model	204
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images	202
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning	200
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving	199
Hierarchical Instance Mixing across Domains in Aerial Segmentation	198
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation	184
Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images	182
Learning Semantics for Visual Place Recognition Through Multi-scale Attention	168
Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic Segmentation	159
Totale	2.716

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2021/2022	187	0	0	0	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	146	20	22	43	61	0	0	0	0	0	0	0	0
Totale													2.716

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