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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

Showing 76100 of 142 papers

TitleStatusHype
Adaptive Object Detection with Dual Multi-Label Prediction0
Harmonizing Transferability and Discriminability for Adapting Object DetectorsCode1
Learning Object Scale With Click Supervision for Object Detection0
Object Instance Mining for Weakly Supervised Object DetectionCode1
Weakly Supervised Instance Segmentation by Deep Community Learning0
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images0
Towards Precise End-to-end Weakly Supervised Object Detection NetworkCode1
WSOD with PSNet and Box Regression0
Tell Me What They're Holding: Weakly-supervised Object Detection with Transferable Knowledge from Human-object Interaction0
Adaptively Denoising Proposal Collection forWeakly Supervised Object Localization0
C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection0
WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object DetectionCode0
Towards Object Detection from Motion0
WSOD2: Learning Bottom-up and Top-down Objectness Distillation forWeakly-supervised Object Detection0
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object DetectionCode0
Object-Aware Instance Labeling for Weakly Supervised Object Detection0
Utilizing the Instability in Weakly Supervised Object Detection0
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks0
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection0
Cyclic Guidance for Weakly Supervised Joint Detection and SegmentationCode0
Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm LocalizationCode0
Universal Bounding Box Regression and Its Applications0
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object DetectionCode0
Activity Driven Weakly Supervised Object Detection0
Weakly Supervised Object Detection with Segmentation Collaboration0
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