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03/30/2023
Neglected Free Lunch – Learning Image Classifiers Using Annotation Byproducts
Supervised learning of image classifiers distills human knowledge into a...
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03/08/2022
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data
Weakly supervised semantic segmentation (WSSS) methods are often built o...
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07/28/2021
Normalization Matters in Weakly Supervised Object Localization
Weakly-supervised object localization (WSOL) enables finding an object u...
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06/15/2021
Keep CALM and Improve Visual Feature Attribution
The class activation mapping, or CAM, has been the cornerstone of featur...
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03/30/2021
Rethinking Spatial Dimensions of Vision Transformers
Vision Transformer (ViT) extends the application range of transformers f...
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01/13/2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
ImageNet has been arguably the most popular image classification benchma...
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07/08/2020
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
Weakly-supervised object localization (WSOL) has gained popularity over ...
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03/09/2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
Despite apparent human-level performances of deep neural networks (DNN),...
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01/21/2020
Evaluating Weakly Supervised Object Localization Methods Right
Weakly-supervised object localization (WSOL) has gained popularity over ...
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08/27/2019
Attention-based Dropout Layer for Weakly Supervised Object Localization
Weakly Supervised Object Localization (WSOL) techniques learn the object...
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05/13/2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Regional dropout strategies have been proposed to enhance the performanc...
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06/01/2018
Unsupervised Object Localization using Generative Adversarial Networks
This paper introduces a novel end-to-end deep neural network model for u...
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02/22/2018
