3 papers
cs.CV2025
RGB-Event based Pedestrian Attribute Recognition: A Benchmark Dataset and An Asymmetric RWKV Fusion Framework
Xiao Wang, Haiyang Wang, Shiao Wang +5
Existing pedestrian attribute recognition methods are generally developed based on RGB frame cameras. However, these approaches are constrained by the limitations of RGB cameras, s…
cs.CV2024
VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition
Lan Chen, Haoxiang Yang, Pengpeng Shao +5
Pattern recognition leveraging both RGB and Event cameras can significantly enhance performance by deploying deep neural networks that utilize a fine-tuning strategy. Inspired by t…
cs.CV2024
SNN-PAR: Energy Efficient Pedestrian Attribute Recognition via Spiking Neural Networks
Haiyang Wang, Qian Zhu, Mowen She +4
Artificial neural network based Pedestrian Attribute Recognition (PAR) has been widely studied in recent years, despite many progresses, however, the energy consumption is still hi…