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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 71–80 of 142 papers

TitleStatusHype
Salvage of Supervision in Weakly Supervised Object Detection—0
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey—0
Self-supervised object detection from audio-visual correspondence—0
Two-phase weakly supervised object detection with pseudo ground truth mining—0
Few-shot Weakly-Supervised Object Detection via Directional Statistics—0
Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection—0
Online Active Proposal Set Generation for Weakly Supervised Object Detection—0
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation—0
Cascade Attentive Dropout for Weakly Supervised Object Detection—0
Towards automatic visual inspection: A weakly supervised learning method for industrial applicable object detection—0
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