VisDA
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
VisDA-C
58.3HOS
14
VisDA 1% labeled 2017
79Target Accuracy
14
VisDA 2017 (0.1% labeled samples per class)
78Target Accuracy
14
VisDA S2R
76.8S2R Accuracy
13
VisDA-C
54.11HOS (mu=100, Ks=9)
12
VisDA (test)
93.3S→R Accuracy
12
VisDA
74.2S2R Accuracy
12
VisDA
78.1S2R Accuracy
12
VisDA-C (test)
91.71Accuracy (3D trainset)
11
VisDA 6 shared, 3 source-private, 3 unknown classes 2017
69.9H-score
11
VisDA-C 12->6
98.8Accuracy (R->S)
11
VisDA-T to VisDA-V (test)
95Authorized Domain Accuracy
10
VisDA PDA (6 shared, 6 source-private, 0 target-private)
80.4Accuracy
10
Visda online imbalanced label distribution shifts 2021
57.3Accuracy
10
VisDA
76.2Avg Accuracy
10
VisDA 2017
91.7Accuracy S->R
10
VisDA 6/0/6
71.6H-score
9
VisDA OPDA
73.1S2R Accuracy
9
VisDA Re -> Syn (test)
79.7Clean Accuracy
8
VisDA Syn -> Re (test)
69.5Clean Accuracy
8
VisDA CDA (12/0/0)
74.8Accuracy
8
VisDA d=2048 2017
0.037Adaptation Time (gap <= 0.1) (s)
7
VisDA 2017 (Real)
67.12Standard Accuracy
7
VisDA 2017
93.6Accuracy (Watermark Patch)
7
VisDA
87Plane Accuracy
6