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cs.CV2025
KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling
Yu Wang, Xin Li, Shengzhao Weng +5
DETR is a novel end-to-end transformer architecture object detector, which significantly outperforms classic detectors when scaling up. In this paper, we focus on the compression o…
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…