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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 101–110 of 142 papers

TitleStatusHype
Enabling Deep Residual Networks for Weakly Supervised Object Detection—0
Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion—0
Exploiting Web Images for Weakly Supervised Object Detection—0
Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection—0
Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation—0
Few-shot Weakly-Supervised Object Detection via Directional Statistics—0
Generative Adversarial Learning Towards Fast Weakly Supervised Detection—0
Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection—0
Learning Better Visual Representations for Weakly-Supervised Object Detection Using Natural Language Supervision—0
Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection—0
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