May 30, 2022 · In this work, we focus on the noise in person search. We categorize the noise into scene-inherent noise and human-introduced noise. Scene- ...
Abstract—Person search aims to localize and identify specific pedestrians from numerous surveillance scene images. In this work, we focus on the noise in ...
Experiments show that the proposed context-aware noise-robust (CANR) person search can achieve competitive performance. Further ablation studies confirm the ...
Experiments show that the proposed context-aware noise-robust (CANR) person search can achieve competitive performance and ablation studies confirm the ...
Context-Aware Feature Learning for Noise Robust Person Search ... For human-introduced noise, we propose a noise-discovery and noise-suppression training process ...
Context-aware feature learning for noise robust person search. C Zhao, Z Chen, S Dou, Z Qu, J Yao, J Wu, D Miao. IEEE Transactions on Circuits and Systems for ...
Context-Aware Feature Learning for Noise Robust Person Search ... For human-introduced noise, we propose a noise-discovery and noise-suppression training process ...
Co-authors ; Context-aware feature learning for noise robust person search. C Zhao, Z Chen, S Dou, Z Qu, J Yao, J Wu, D Miao. IEEE Transactions on Circuits and ...
A novel dual context-aware refinement network (DCRNet) for person search is proposed, which jointly explores two kinds of contexts including intra-instance ...
Nov 29, 2021 · We present a novel contextual feature head named Attention Context-Aware Embedding(ACAE) which enhances contextual information.
Missing: Noise | Show results with:Noise