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Deutsch

Weakly Supervised Object Localization On Cub

Metriken

MaxBoxAccV2

Top-1 Error Rate

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	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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