RSC (AlexNet)

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

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

Methodology2 results

Domain AdaptationonVLCS
Average Accuracy· 2020-07-05
75.43
best: 85.5 (CAR-FT (CLIP, ViT-B/16))
SOTA
Self-Challenging Improves Cross-Domain Generalization arXiv:2007.02454
Domain AdaptationonPACS
Average Accuracy· 2020-07-05
76.05
best: 99 (SIMPLE+)
Self-Challenging Improves Cross-Domain Generalization arXiv:2007.02454

Computer Vision2 results

Domain GeneralizationonVLCS
Average Accuracy· 2020-07-05
75.43
best: 85.5 (CAR-FT (CLIP, ViT-B/16))
SOTA
Self-Challenging Improves Cross-Domain Generalization arXiv:2007.02454
Domain GeneralizationonPACS
Average Accuracy· 2020-07-05
76.05
best: 99 (SIMPLE+)
Self-Challenging Improves Cross-Domain Generalization arXiv:2007.02454