329 citations · 347 across the 4 of their papers we have counts for
5 papers
Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection
Junjie Huang, Yun Ye, Zhujin Liang +2
3D object Detection with LiDAR-camera encounters overfitting in algorithm development which is derived from the violation of some fundamental rules. We refer to the data annotation…
HPS-Det: Dynamic Sample Assignment with Hyper-Parameter Search for Object Detection
Ji Liu, Dong Li, Zekun Li +4
Sample assignment plays a prominent part in modern object detection approaches. However, most existing methods rely on manual design to assign positive / negative samples, which do…
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
Haowei Zhu, Wenjing Ke, Dong Li +3
Recently, self-attention mechanisms have shown impressive performance in various NLP and CV tasks, which can help capture sequential characteristics and derive global information.…
Dynamic Sparse R-CNN
Qinghang Hong, Fengming Liu, Dong Li +3
Sparse R-CNN is a recent strong object detection baseline by set prediction on sparse, learnable proposal boxes and proposal features. In this work, we propose to improve Sparse R-…
Deep Image: Scaling up Image Recognition
Ren Wu, Shengen Yan, Yi Shan +2
We present a state-of-the-art image recognition system, Deep Image, developed using end-to-end deep learning. The key components are a custom-built supercomputer dedicated to deep…