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Image Classification on ImageNet-Seg
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85.5
Top-1 Accuracy
Multi-label
84.252
84.576
84.9
85.224
Mar 5, 2026
Top-1 Accuracy
mAP
Updated 1mo ago
Evaluation Results
Method
Method
Links
Top-1 Accuracy
mAP
Multi-label
Backbone=ResNet-50
2026.03
85.5
88.8
ReLabel w/ Our Mask
Backbone=ResNet-50
2026.03
85.3
88.5
ReLabel
Backbone=ResNet-50
2026.03
84.8
88.2
Original + Label Smooth
Backbone=ResNet-50
2026.03
84.4
87.7
Original Label
Backbone=ResNet-50
2026.03
84.3
87.8
LL
Backbone=ResNet-50
2026.03
84.3
87.7
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