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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 76–100 of 140 papers

TitleStatusHype
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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