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Weakly Supervised Object Detection

Weakly Supervised Object Detection (WSOD) is the task of training object detectors with only image tag supervisions.

( Image credit: Soft Proposal Networks for Weakly Supervised Object Localization )

Papers

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Showing 101–125 of 142 papers

TitleStatusHype
Universal Bounding Box Regression and Its Applications—0
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object DetectionCode0
Activity Driven Weakly Supervised Object Detection—0
Weakly Supervised Object Detection with Segmentation Collaboration—0
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom UpCode0
Min-Entropy Latent Model for Weakly Supervised Object DetectionCode0
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection—0
Dissimilarity Coefficient based Weakly Supervised Object Detection—0
LoANs: Weakly Supervised Object Detection with Localizer Assessor NetworksCode0
Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation—0
Weakly Supervised Region Proposal Network and Object Detection—0
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection—0
W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection—0
Generative Adversarial Learning Towards Fast Weakly Supervised Detection—0
Zigzag Learning for Weakly Supervised Object Detection—0
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning—0
Collaborative Learning for Weakly Supervised Object Detection—0
Weakly Supervised Object Detection with Pointwise Mutual Information—0
Multiple Instance Curriculum Learning for Weakly Supervised Object Detection—0
Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks—0
Soft Proposal Networks for Weakly Supervised Object LocalizationCode0
PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN—0
Optimizing Region Selection for Weakly Supervised Object Detection—0
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection—0
Exploiting Web Images for Weakly Supervised Object Detection—0
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