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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Weakly Supervised Object Localization On Cub

평가 지표

MaxBoxAccV2
Top-1 Error Rate

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
MaxBoxAccV2
Top-1 Error Rate
Paper TitleRepository
ADL66.337.71Attention-based Dropout Layer for Weakly Supervised Object Localization
InfoCAM-54.17Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator
F-CAM80.1-F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling
PSOL-DenseNet161-Sep--Rethinking the Route Towards Weakly Supervised Object Localization
ART-34.8Attributional 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
DiPS90.9-Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization-
SPG60.453.36Self-produced Guidance for Weakly-supervised Object Localization
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