Supervised learning of image classifiers distills human knowledge into a...
Weakly supervised semantic segmentation (WSSS) methods are often built o...
Weakly-supervised object localization (WSOL) enables finding an object u...
The class activation mapping, or CAM, has been the cornerstone of featur...
Vision Transformer (ViT) extends the application range of transformers f...
ImageNet has been arguably the most popular image classification benchma...
Weakly-supervised object localization (WSOL) has gained popularity over ...
Despite apparent human-level performances of deep neural networks (DNN),...
Weakly-supervised object localization (WSOL) has gained popularity over ...
Weakly Supervised Object Localization (WSOL) techniques learn the object...
Regional dropout strategies have been proposed to enhance the performanc...
This paper introduces a novel end-to-end deep neural network model for
u...
We propose an improved technique for weakly-supervised object localizati...