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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
PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI LocalizationCode0
Progressive Representation Adaptation for Weakly Supervised Object LocalizationCode0
A Realistic Protocol for Evaluation of 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
SE3D: A Framework For Saliency Method Evaluation In 3D ImagingCode0
Self-produced Guidance for Weakly-supervised Object LocalizationCode0
Expeditious Saliency-guided Mix-up through Random Gradient ThresholdingCode0
Soft Proposal Networks for Weakly Supervised Object LocalizationCode0
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for HistologyCode0
Strengthen Learning Tolerance for Weakly Supervised Object LocalizationCode0
TeD-Loc: Text Distillation for Weakly Supervised Object LocalizationCode0
Causal Explanation of Convolutional Neural NetworksCode0
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic VideosCode0
Knowledge-guided Causal Intervention for Weakly-supervised Object LocalizationCode0
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object DetectionCode0
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action LocalizationCode0
Combinational Class Activation Maps for Weakly Supervised Object LocalizationCode0
Adversarial Complementary Learning for Weakly Supervised Object LocalizationCode0
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and SegmentationCode0
Attention-based Dropout Layer for Weakly Supervised Object LocalizationCode0
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised LocalizationCode0
Convolutional STN for Weakly Supervised Object LocalizationCode0
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object LocalizationCode0
In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object LocalizationCode0
DANet: Divergent Activation for Weakly Supervised Object LocalizationCode0
Min-Entropy Latent Model for Weakly Supervised Object DetectionCode0
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A SurveyCode0
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object LocalizationCode0
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained VideosCode0
Background-aware Classification Activation Map 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
GridMix: Strong regularization through local context mapping—0
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