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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 61–70 of 142 papers

TitleStatusHype
Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation—0
Negative Prototypes Guided Contrastive Learning for WSOD—0
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation—0
PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refinement—0
Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection—0
Exploiting Web Images for Weakly Supervised Object Detection—0
Compositional Mixture Representations for Vision and Text—0
Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion—0
Enabling Deep Residual Networks for Weakly Supervised Object Detection—0
Collaborative Learning for Weakly Supervised Object Detection—0
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