DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization-Reference-Cited by-同舟云学术

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DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization

Published:2023-12 Issue: Volume:140 Page:104838
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Murtaza Shakeeb,Belharbi Soufiane,Pedersoli Marco,Sarraf Aydin,Granger Eric

Funder

Alliance de recherche numérique du Canada

Natural Sciences and Engineering Research Council of Canada

Mitacs

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference74 articles.

1. Emerging properties in self-supervised vision transformers;Caron,2021

2. TS-CAM: Token semantic coupled attention map for weakly supervised object localization;Gao,2021

3. Learning deep features for discriminative localization;Zhou,2016

4. Is object localization for free? weakly-supervised learning with convolutional neural networks;Oquab,2015

5. Deep residual learning for image recognition;He,2016

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1. Clustering-inspired channel selection method for weakly supervised object localization;Pattern Recognition Letters;2024-06

2. Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues;2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG);2024-05-27

3. Feature disparity learning for weakly supervised object localization;Image and Vision Computing;2024-05

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