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cs.CV2024
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection
Jiaming Li, Jiacheng Zhang, Jichang Li +4
Open vocabulary object detection (OVD) aims at seeking an optimal object detector capable of recognizing objects from both base and novel categories. Recent advances leverage knowl…
cs.CV2024
Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
Jiaming Li, Xiangru Lin, Wei Zhang +6
Current semi-supervised object detection (SSOD) algorithms typically assume class balanced datasets (PASCAL VOC etc.) or slightly class imbalanced datasets (MS-COCO, etc). This ass…
cs.CV2024
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection
Jiacheng Zhang, Jiaming Li, Xiangru Lin +6
We delve into pseudo-labeling for semi-supervised monocular 3D object detection (SSM3OD) and discover two primary issues: a misalignment between the prediction quality of 3D and 2D…