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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 26–50 of 140 papers

TitleStatusHype
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
Localizing Objects with Self-Supervised Transformers and no LabelsCode1
ViTOL: Vision Transformer for Weakly Supervised Object LocalizationCode1
Min-max Entropy for Weakly Supervised Pointwise LocalizationCode1
Weakly Supervised Object Localization via Transformer with Implicit Spatial CalibrationCode1
Normalization Matters in Weakly Supervised Object LocalizationCode1
Generative Prompt Model for Weakly Supervised Object LocalizationCode1
Distilling Knowledge from Refinement in Multiple Instance Detection NetworksCode1
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object LocalizationCode1
Background Activation Suppression for Weakly Supervised Object LocalizationCode1
Dual-attention Guided Dropblock Module for Weakly Supervised Object LocalizationCode1
Dual Progressive Transformations for Weakly Supervised Semantic SegmentationCode1
Eigen-CAM: Class Activation Map using Principal ComponentsCode1
Shallow Feature Matters for Weakly Supervised Object LocalizationCode1
HINT: Hierarchical Neuron Concept ExplainerCode1
Evaluating Weakly Supervised Object Localization Methods RightCode1
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and DatasetsCode1
A Generic Visualization Approach for Convolutional Neural NetworksCode1
Exploring Foveation and Saccade for Improved Weakly-Supervised LocalizationCode1
F-CAM: Full Resolution Class Activation Maps via Guided Parametric UpscalingCode1
FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object LocalizationCode1
Density-Based Region Search with Arbitrary Shape for Object Localization—0
CaFT: Clustering and Filter on Tokens of Transformer for Weakly Supervised Object Localization—0
Improving Weakly-Supervised Object Localization Using Adversarial Erasing and Pseudo Label—0
Deep Self-Taught Learning for Weakly Supervised Object Localization—0
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