3 citations · 3 across the 3 of their papers we have counts for
4 papers
Order Matters: Competition-Guided Query Ordering for RNN-Based Object Detection
Shengjian Wu, Li Sun, Yu Shangguan +1
DETR-style detectors use one-to-one bipartite matching during training to assign object queries to ground-truth objects, enabling end-to-end set prediction without non-maximum supp…
OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer
Shengjian Wu, Li Sun, Qingli Li
DEtection TRansformer (DETR) becomes a dominant paradigm, mainly due to its common architecture with high accuracy and no post-processing. However, DETR suffers from unstable train…
Knowledge-guided Causal Intervention for Weakly-supervised Object Localization
Feifei Shao, Yawei Luo, Fei Gao +2
Previous weakly-supervised object localization (WSOL) methods aim to expand activation map discriminative areas to cover the whole objects, yet neglect two inherent challenges when…
IoU-Enhanced Attention for End-to-End Task Specific Object Detection
Jing Zhao, Shengjian Wu, Li Sun +1
Without densely tiled anchor boxes or grid points in the image, sparse R-CNN achieves promising results through a set of object queries and proposal boxes updated in the cascaded t…