SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 140 papers

TitleStatusHype
Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization—0
PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI LocalizationCode0
TeD-Loc: Text Distillation for Weakly Supervised Object LocalizationCode0
Categorical Knowledge Fused Recognition: Fusing Hierarchical Knowledge with Image Classification through Aligning and Deep Metric Learning—0
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
CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization PerspectiveCode1
Exploring Foveation and Saccade for Improved Weakly-Supervised LocalizationCode1
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
Background Activation Suppression for Weakly Supervised Object Localization and Semantic SegmentationCode1
FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object LocalizationCode1
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization—0
Rethinking the Localization in Weakly Supervised Object Localization—0
Generative Prompt Model for Weakly Supervised Object LocalizationCode1
Counterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization—0
Open-World Weakly-Supervised Object LocalizationCode1
Spatial-Aware Token for Weakly Supervised Object LocalizationCode1
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
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentationCode1
Dual Progressive Transformations for Weakly Supervised Semantic SegmentationCode1
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization—0
Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization—0
Re-Attention Transformer for Weakly Supervised Object LocalizationCode1
Weakly Supervised Object Localization via Transformer with Implicit Spatial CalibrationCode1
On Label Granularity and Object LocalizationCode1
Bagging Regional Classification Activation Maps for Weakly Supervised Object LocalizationCode1
CREAM: Weakly Supervised Object Localization via Class RE-Activation MappingCode1
Location-free Human Pose Estimation—0
Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition—0
ViTOL: Vision Transformer for Weakly Supervised Object LocalizationCode1
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization—0
Total Variation Optimization Layers for Computer VisionCode1
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization—0
HINT: Hierarchical Neuron Concept ExplainerCode1
Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic SegmentationCode2
Learning Consistency from High-quality Pseudo-labels for Weakly Supervised Object Localization—0
Weakly Supervised Object Localization as Domain AdaptionCode1
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized CutCode2
CaFT: Clustering and Filter on Tokens of Transformer for Weakly Supervised Object Localization—0
C2AM: Contrastive Learning of Class-Agnostic Activation Map for Weakly Supervised Object Localization and Semantic SegmentationCode2
Background-aware Classification Activation Map for Weakly Supervised Object LocalizationCode0
Show:102550
← PrevPage 1 of 3Next →

No leaderboard results yet.