PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection
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DOI: 10.1007/s11263-025-02486-4
Abstract: With the growing demand for oriented object detection (OOD), recent studies on point-supervised OOD have attracted significant interest. In this paper, we propose PointOBB-v3, a stronger single point-supervised OOD framework. Compared to existing methods, it… read more here.
Keywords: point supervised; module; object detection; oriented object ... See more keywords
A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds
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DOI: 10.1109/tip.2021.3055632
Abstract: In this article, we propose a novel self-training approach named Crowd-SDNet that enables a typical object detector trained only with point-level annotations (i.e., objects are labeled with points) to estimate both the center points and… read more here.
Keywords: point supervised; self training; training approach; point ... See more keywords
SQL-Net: Semantic Query Learning for Point-Supervised Temporal Action Localization
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DOI: 10.1109/tmm.2024.3521799
Abstract: Point-supervised Temporal Action Localization (PS-TAL) detects temporal intervals of actions in untrimmed videos with a label-efficient paradigm. However, most existing methods fail to learn action completeness without instance-level annotations, resulting in fragmentary region predictions. In… read more here.
Keywords: point supervised; supervised temporal; semantic query; action ... See more keywords