no code implementations • 23 Jul 2022 • Ji Liu, Dong Li, Zekun Li, Han Liu, Wenjing Ke, Lu Tian, Yi Shan
Sample assignment plays a prominent part in modern object detection approaches.
no code implementations • CVPR 2022 • Haowei Zhu, Wenjing Ke, Dong Li, Ji Liu, Lu Tian, Yi Shan
First, we propose global-local cross-attention (GLCA) to enhance the interactions between global images and local high-response regions, which can help reinforce the spatial-wise discriminative clues for recognition.
Ranked #6 on Fine-Grained Image Classification on CUB-200-2011 (using extra training data)
Fine-Grained Image Classification Fine-Grained Visual Categorization
no code implementations • 10 Oct 2017 • Wenjing Ke, Yuanjie Zhu, Lei Yu
In this paper, we take advantage of binocular camera and propose an unsupervised algorithm based on semi-supervised segmentation algorithm and extracting foreground part efficiently.