no code implementations • 5 Jun 2023 • Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu
COREP primarily employs a guided updating mechanism to learn a stable graph representation for states termed as causal-origin representation.
no code implementations • 1 Oct 2022 • Binghao Liu, Boyu Yang, Lingxi Xie, Ren Wang, Qi Tian, Qixiang Ye
LDC is built upon a parameterized calibration unit (PCU), which initializes biased distributions for all classes based on classifier vectors (memory-free) and a single covariance matrix.
no code implementations • 6 Apr 2021 • Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye
By tentatively expanding network nodes, LEC-Net enlarges the representation capacity of features, alleviating feature drift of old network from the perspective of model regularization.
2 code implementations • CVPR 2021 • Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye
Few-shot object detection has made substantial progressby representing novel class objects using the feature representation learned upon a set of base class objects.
Ranked #14 on Few-Shot Object Detection on MS-COCO (10-shot)
1 code implementation • ECCV 2020 • Boyu Yang, Chang Liu, Bohao Li, Jianbin Jiao, Qixiang Ye
Few-shot segmentation is challenging because objects within the support and query images could significantly differ in appearance and pose.