activity
20182025
most citedProgressive Neural Networks for Image Classification

7 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

CFIS-YOLO: A Lightweight Multi-Scale Fusion Network for Edge-Deployable Wood Defect Detection

Jincheng Kang, Yi Cen, Yigang Cen +2

Wood defect detection is critical for ensuring quality control in the wood processing industry. However, current industrial applications face two major challenges: traditional meth…

cs.CV2023

POAR: Towards Open Vocabulary Pedestrian Attribute Recognition

Yue Zhang, Suchen Wang, Shichao Kan +3

Pedestrian attribute recognition (PAR) aims to predict the attributes of a target pedestrian in a surveillance system. Existing methods address the PAR problem by training a multi-…

cs.CV2022

Contrastive Bayesian Analysis for Deep Metric Learning

Shichao Kan, Zhiquan He, Yigang Cen +3

Recent methods for deep metric learning have been focusing on designing different contrastive loss functions between positive and negative pairs of samples so that the learned feat…

cs.CV2022★ 3 cited

Coded Residual Transform for Generalizable Deep Metric Learning

Shichao Kan, Yixiong Liang, Min Li +3

A fundamental challenge in deep metric learning is the generalization capability of the feature embedding network model since the embedding network learned on training classes need…

cs.CV2018★ 7 cited

Progressive Neural Networks for Image Classification

Zhi Zhang, Guanghan Ning, Yigang Cen +4

The inference structures and computational complexity of existing deep neural networks, once trained, are fixed and remain the same for all test images. However, in practice, it is…