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Weakly-Supervised Object Detection Learning through Human-Robot Interaction
Evaluating Weakly Supervised Object Localization Methods Right
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection
Weakly Supervised Object Detection
ALWOD: Active Learning for Weakly-Supervised Object Detection
Few-shot Weakly-Supervised Object Detection via Directional Statistics
Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration(ECCV 2022)
Weakly Supervised Object Localization
The 3rd Place of Track-3: Weakly Supervised Object Localization
Weakly Supervised Discriminative Feature Learning With State Information for Person Identification
Closing the gap between weakly and fully supervised methods
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Last Updated: October 1, 2026
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Summary
Authors: Wang, Yuting*; Guerrero , Ricardo; Pavlovic, Vladimir Description: This video demonstrates a system for efficiently training an arXiv: arxiv.org/abs/2001.07437 Code & data: github.com/clovaai/wsolevaluation Authors: Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz ... Authors: Amirreza Shaban (University of Washington)*; Amir Rahimi (Australian National University); Thalaiyasingam Ajanthan ... A graph-model-based Transformer external module, Spatial Calibration Module (SCM) for accurate WSOL. By Haotian Bai ... Achieve the 3rd place of Track 3 " Authors: Hong-Xing Yu, Wei-Shi Zheng Description: Unsupervised learning of identity-discriminative visual feature is appealing in ... Learning visual classes is traditionally done in a fully