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Weakly-Supervised Object Localization

Weakly supervised object localization (WSOL) learns to localize objects with only image-level labels, no object level labels (bonding boxes, etc.,) is needed. It is more attractive since image-level labels are much easier and cheaper to obtain.

Papers

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Showing 101–125 of 140 papers

TitleStatusHype
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information EstimatorCode0
Improve CAM with Auto-adapted Segmentation and Co-supervised Augmentation—0
Combinational Class Activation Maps for Weakly Supervised Object LocalizationCode0
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization—0
Information Entropy Based Feature Pooling for Convolutional Neural Networks—0
DANet: Divergent Activation for Weakly Supervised Object LocalizationCode0
Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization—0
Dual-attention Focused Module for Weakly Supervised Object Localization—0
Weakly Supervised Localization Using Background Images—0
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A SurveyCode0
Attention-based Dropout Layer for Weakly Supervised Object LocalizationCode0
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation—0
Compression and Localization in Reinforcement Learning for ATARI Games—0
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object DetectionCode0
Modularized Textual Grounding for Counterfactual ResilienceCode0
Min-Entropy Latent Model for Weakly Supervised Object DetectionCode0
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic VideosCode0
ML-LocNet: Improving Object Localization with Multi-view Learning Network—0
Self-produced Guidance for Weakly-supervised Object LocalizationCode0
Adversarial Complementary Learning for Weakly Supervised Object LocalizationCode0
Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset—0
Improved Techniques For Weakly-Supervised Object Localization—0
Progressive Representation Adaptation for Weakly Supervised Object LocalizationCode0
Soft Proposal Networks for Weakly Supervised Object LocalizationCode0
Two-Phase Learning for Weakly Supervised Object Localization—0
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