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홈
SOTA
Weakly Supervised Object Localization
Weakly Supervised Object Localization On Cub
Weakly Supervised Object Localization On Cub
평가 지표
MaxBoxAccV2
Top-1 Error Rate
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
MaxBoxAccV2
Top-1 Error Rate
Paper Title
Repository
ADL
66.3
37.71
Attention-based Dropout Layer for Weakly Supervised Object Localization
InfoCAM
-
54.17
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator
F-CAM
80.1
-
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling
PSOL-DenseNet161-Sep
-
-
Rethinking the Route Towards Weakly Supervised Object Localization
ART
-
34.8
Attributional Robustness Training using Input-Gradient Spatial Alignment
-
LOST
-
-
Localizing Objects with Self-Supervised Transformers and no Labels
TokenCut
-
-
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut
GenPromp
-
-
Generative Prompt Model for Weakly Supervised Object Localization
DiPS
90.9
-
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization
-
SPG
60.4
53.36
Self-produced Guidance for Weakly-supervised Object Localization
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