Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Peng, Yi-Xing"'
Online person re-identification services face privacy breaches from potential data leakage and recovery attacks, exposing cloud-stored images to malicious attackers and triggering public concern. The privacy protection of pedestrian images is crucial
Externí odkaz:
http://arxiv.org/abs/2408.05543
Few-shot class-incremental learning (FSCIL) aims to learn sequential classes with limited samples in a few-shot fashion. Inherited from the classical class-incremental learning setting, the popular benchmark of FSCIL uses averaged accuracy (aAcc) and
Externí odkaz:
http://arxiv.org/abs/2407.07468
Person Re-identification (ReID) has been extensively developed for a decade in order to learn the association of images of the same person across non-overlapping camera views. To overcome significant variations between images across camera views, mou
Externí odkaz:
http://arxiv.org/abs/2403.11121
Autor:
Lin, Kun-Yu, Ding, Henghui, Zhou, Jiaming, Tang, Yu-Ming, Peng, Yi-Xing, Zhao, Zhilin, Loy, Chen Change, Zheng, Wei-Shi
Building upon the impressive success of CLIP (Contrastive Language-Image Pretraining), recent pioneer works have proposed to adapt the powerful CLIP to video data, leading to efficient and effective video learners for open-vocabulary action recogniti
Externí odkaz:
http://arxiv.org/abs/2403.01560
Incremental learning aims to overcome catastrophic forgetting when learning deep networks from sequential tasks. With impressive learning efficiency and performance, prompt-based methods adopt a fixed backbone to sequential tasks by learning task-spe
Externí odkaz:
http://arxiv.org/abs/2308.10445
Deep neural network (DNN) suffers from catastrophic forgetting when learning incrementally, which greatly limits its applications. Although maintaining a handful of samples (called `exemplars`) of each task could alleviate forgetting to some extent,
Externí odkaz:
http://arxiv.org/abs/2204.08932
Publikováno v:
In Pattern Recognition January 2025 157
Akademický článek
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Akademický článek
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Autor:
Tao Song, Qian-Wen Zhang, Shao-Feng Duan, Yun Bian, Qiang Hao, Peng-Yi Xing, Tie-Gong Wang, Lu-Guang Chen, Chao Ma, Jian-Ping Lu
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background This study aims to investigate the value of radiomics parameters derived from contrast enhanced (CE) MRI in differentiation of hypovascular non-functional pancreatic neuroendocrine tumors (hypo-NF-pNETs) and solid pseudopapillary
Externí odkaz:
https://doaj.org/article/4fcff37feded4c50b299d3d7e7fbbda9