Enhanced training of query-based object detection via selective query recollection

F Chen, H Zhang, K Hu, YK Huang… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper investigates a phenomenon where query-based object detectors mispredict at
the last decoding stage while predicting correctly at an intermediate stage. We review the …

Unitail: detecting, reading, and matching in retail scene

F Chen, H Zhang, Z Li, J Dou, S Mo, H Chen… - … on Computer Vision, 2022 - Springer
To make full use of computer vision technology in stores, it is required to consider the actual
needs that fit the characteristics of the retail scene. Pursuing this goal, we introduce the …

MBAB-YOLO: A Modified Lightweight Architecture for Real-Time Small Target Detection

J Zhang, Y Meng, X Yu, H Bi, Z Chen, H Li… - IEEE …, 2023 - ieeexplore.ieee.org
Current target detection methods have achieved high accuracy for detecting large and
medium-sized targets. However, due to factors such as the small number of pixels and …

Image dataset creation and networks improvement method based on CAD model and edge operator for object detection in the manufacturing industry

P Tang, Y Guo, H Li, Z Wei, G Zheng, J Pu - Machine Vision and …, 2021 - Springer
Creating image dataset for object detection is a time-consuming and laborious work,
seriously hindering the rapid application of object detection in the industrial manufacturing …

DMA-SGCN for Video Motion Recognition: A Tool for Advanced Sports Analysis

C Pei - IEEE Access, 2024 - ieeexplore.ieee.org
Video motion recognition plays a crucial role in advanced sports analysis. With video motion
recognition, sports analytics has become more data-driven and result-oriented, significantly …