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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
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained VideosCode0
Leveraging Activations for Superpixel Explanations—0
SE3D: A Framework For Saliency Method Evaluation In 3D ImagingCode0
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for HistologyCode0
A Realistic Protocol for Evaluation of Weakly Supervised Object LocalizationCode0
Improving Weakly-Supervised Object Localization Using Adversarial Erasing and Pseudo Label—0
Towards Two-Stream Foveation-based Active Vision Learning—0
Multiscale Vision Transformer With Deep Clustering-Guided Refinement for Weakly Supervised Object Localization—0
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object LocalizationCode0
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization—0
Rethinking the Localization in Weakly Supervised Object Localization—0
Counterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization—0
Knowledge-guided Causal Intervention for Weakly-supervised Object LocalizationCode0
Category-aware Allocation Transformer for Weakly Supervised Object Localization—0
Adversarial Normalization: I Can Visualize Everything (ICE)Code0
Expeditious Saliency-guided Mix-up through Random Gradient ThresholdingCode0
Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization—0
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization—0
Location-free Human Pose Estimation—0
Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition—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
Learning Consistency from High-quality Pseudo-labels for Weakly Supervised Object Localization—0
CaFT: Clustering and Filter on Tokens of Transformer for Weakly Supervised Object Localization—0
Background-aware Classification Activation Map for Weakly Supervised Object LocalizationCode0
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization—0
SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost—0
Causal Explanation of Convolutional Neural NetworksCode0
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition—0
Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection—0
Strengthen Learning Tolerance for Weakly Supervised Object LocalizationCode0
Improving Few-shot Learning with Weakly-supervised Object Localization—0
MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization—0
Weakly Supervised Object Localization and Detection: A Survey—0
Fine-Grained Attention for Weakly Supervised Object Localization—0
DAP: Detection-Aware Pre-training with Weak SupervisionCode0
Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection—0
GridMix: Strong regularization through local context mappingCode0
Foreground Activation Maps for Weakly Supervised Object Localization—0
Hierarchical Complementary Learning for Weakly Supervised Object Localization—0
LID 2020: The Learning from Imperfect Data Challenge Results—0
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels—0
In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object LocalizationCode0
Entropy Guided Adversarial Model for Weakly Supervised Object Localization—0
Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement MapsCode0
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization—0
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object LocalizationCode0
Weakly-supervised Object Localization for Few-shot Learning and Fine-grained Few-shot Learning—0
Convolutional STN for Weakly Supervised Object LocalizationCode0
Attributional Robustness Training using Input-Gradient Spatial AlignmentCode0
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