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Models/WaveMix

WaveMix

Reported on 10 benchmarks across 6 tasks · 2 papers · 6 SOTA

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

Computer Vision6 results

Image ClassificationonBreakHis
Average Test Accuracy over all magnifications· uses extra data· 2024-06-09
99.39
SOTA
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision arXiv:2406.05612
Scene ClassificationonPlaces365-Standard
Top 1 Error· 2022-05-28
43.55
SOTA
WaveMix: A Resource-efficient Neural Network for Image Analysis arXiv:2205.14375
Image ClassificationonGalaxy10 DECals
PARAMS (M)· uses extra data· 2022-05-28
28
best: 272 (Astroformer)
SOTA
WaveMix: A Resource-efficient Neural Network for Image Analysis arXiv:2205.14375
Image ClassificationonGalaxy10 DECals
Top-1 Accuracy (%)· uses extra data· 2022-05-28
95.42
SOTA
WaveMix: A Resource-efficient Neural Network for Image Analysis arXiv:2205.14375
Image ClassificationonEuroSAT
Accuracy (%)· 2024-06-09
98.96
best: 99.41 (DeepEnsembling)
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision arXiv:2406.05612
Image ClassificationonCIFAR-10
Percentage correct
85.21
best: 99.5 (ViT-H/14)

Medical2 results

CanceronBreakHis
Accuracy (%)· uses extra data· 2024-06-09
99.39
SOTA
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision arXiv:2406.05612
Semantic SegmentationonCityscapes val
mIoU· 2022-05-28
82.7
best: 90.3 (EfficientPS (Cityscapes-fine))
WaveMix: A Resource-efficient Neural Network for Image Analysis arXiv:2205.14375

Knowledge Base1 result

Breast Cancer Histology Image ClassificationonBreakHis
Accuracy (%)· uses extra data· 2024-06-09
99.39
SOTA
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision arXiv:2406.05612

Audio1 result

10-shot image generationonCityscapes val
mIoU· 2022-05-28
82.7
best: 90.3 (EfficientPS (Cityscapes-fine))
WaveMix: A Resource-efficient Neural Network for Image Analysis arXiv:2205.14375