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Models/ViSGA

ViSGA

Reported on 6 benchmarks across 2 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology3 results

Domain AdaptationonKitti to Cityscapes
mAP@0.5· 2021-10-04
47.6
best: 50.3 (RT-DATR(real-time, 640x640))
SOTA
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection arXiv:2110.01428
Domain AdaptationonSIM10K to Cityscapes
mAP@0.5· 2021-10-04
52.1
best: 77.8 (ALDI++)
SOTA
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection arXiv:2110.01428
Domain AdaptationonCityscapes to Foggy Cityscapes
mAP@0.5· 2021-10-04
43.3
best: 66.8 (ALDI++(Resnet50+FPN))
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection arXiv:2110.01428

Other3 results

Unsupervised Domain AdaptationonKitti to Cityscapes
mAP@0.5· 2021-10-04
47.6
best: 50.3 (RT-DATR(real-time, 640x640))
SOTA
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection arXiv:2110.01428
Unsupervised Domain AdaptationonSIM10K to Cityscapes
mAP@0.5· 2021-10-04
52.1
best: 77.8 (ALDI++)
SOTA
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection arXiv:2110.01428
Unsupervised Domain AdaptationonCityscapes to Foggy Cityscapes
mAP@0.5· 2021-10-04
43.3
best: 66.8 (ALDI++(Resnet50+FPN))
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection arXiv:2110.01428