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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 51–100 of 140 papers

TitleStatusHype
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A SurveyCode0
Progressive Representation Adaptation for Weakly Supervised Object LocalizationCode0
A Realistic Protocol for Evaluation of Weakly Supervised Object LocalizationCode0
GridMix: Strong regularization through local context mappingCode0
Background-aware Classification Activation Map for Weakly Supervised Object LocalizationCode0
Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement MapsCode0
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information EstimatorCode0
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained VideosCode0
DANet: Divergent Activation for Weakly Supervised Object LocalizationCode0
SE3D: A Framework For Saliency Method Evaluation In 3D ImagingCode0
Self-produced Guidance for Weakly-supervised Object LocalizationCode0
Modularized Textual Grounding for Counterfactual ResilienceCode0
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action LocalizationCode0
Expeditious Saliency-guided Mix-up through Random Gradient ThresholdingCode0
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object DetectionCode0
DAP: Detection-Aware Pre-training with Weak SupervisionCode0
Soft Proposal Networks for Weakly Supervised Object LocalizationCode0
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for HistologyCode0
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and SegmentationCode0
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object LocalizationCode0
Strengthen Learning Tolerance for Weakly Supervised Object LocalizationCode0
Combinational Class Activation Maps for Weakly Supervised Object LocalizationCode0
TeD-Loc: Text Distillation for Weakly Supervised Object LocalizationCode0
Adversarial Complementary Learning for Weakly Supervised Object LocalizationCode0
Attention-based Dropout Layer for Weakly Supervised Object LocalizationCode0
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised LocalizationCode0
Min-Entropy Latent Model for Weakly Supervised Object DetectionCode0
Adversarial Normalization: I Can Visualize Everything (ICE)Code0
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object LocalizationCode0
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic VideosCode0
Causal Explanation of Convolutional Neural NetworksCode0
Knowledge-guided Causal Intervention for Weakly-supervised Object LocalizationCode0
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels—0
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization—0
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization—0
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization—0
CaFT: Clustering and Filter on Tokens of Transformer for Weakly Supervised Object Localization—0
Category-aware Allocation Transformer for Weakly Supervised Object Localization—0
Compression and Localization in Reinforcement Learning for ATARI Games—0
Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization—0
Deep Self-Taught Learning for Weakly Supervised Object Localization—0
Density-Based Region Search with Arbitrary Shape for Object Localization—0
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization—0
Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition—0
Dual-attention Focused Module for Weakly Supervised Object Localization—0
Entropy Guided Adversarial Model for Weakly Supervised Object Localization—0
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization—0
Weakly-supervised Object Localization for Few-shot Learning and Fine-grained Few-shot Learning—0
Fine-Grained Attention for Weakly Supervised Object Localization—0
Foreground Activation Maps for Weakly Supervised Object Localization—0
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