SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 142 papers

TitleStatusHype
Pseudo-Label Generation-Evaluation Framework For Cross Domain Weakly Supervised Object Detection—0
Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images—0
CaT: Weakly Supervised Object Detection with Category TransferCode0
Boosting Weakly Supervised Object Detection via Learning Bounding Box AdjustersCode1
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation—0
Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection—0
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
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object DetectionCode1
Cascade Attentive Dropout for Weakly Supervised Object Detection—0
Domain-Adaptive Object Detection via Uncertainty-Aware Distribution AlignmentCode1
Comprehensive Attention Self-Distillation for Weakly-Supervised Object DetectionCode1
Towards automatic visual inspection: A weakly supervised learning method for industrial applicable object detection—0
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shiftsCode1
Enabling Deep Residual Networks for Weakly Supervised Object Detection—0
Boosting Weakly Supervised Object Detection with Progressive Knowledge TransferCode1
SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection—0
Distilling Knowledge from Refinement in Multiple Instance Detection NetworksCode1
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object DetectionCode1
Show:102550
← PrevPage 3 of 6Next →

No leaderboard results yet.