受强制性开放获取政策约束的文章 - Binghui Chen了解详情
无法在其他位置公开访问的文章:3 篇
Prnet++: Learning towards generalized occluded pedestrian detection via progressive refinement network
X Song, B Chen, P Li, B Wang, H Zhang
Neurocomputing 482, 98-115, 2022
强制性开放获取政策: 国家自然科学基金委员会
Deep embedding learning with adaptive large margin N-pair loss for image retrieval and clustering
B Chen, W Deng
Pattern Recognition 93, 353-364, 2019
强制性开放获取政策: 国家自然科学基金委员会
Weakly-supervised deep self-learning for face recognition
B Chen, W Deng
2016 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2016
强制性开放获取政策: 国家自然科学基金委员会
可在其他位置公开访问的文章:16 篇
Mixed High-Order Attention Network for Person Re-Identification
B Chen, W Deng, J Hu
Proceedings of the IEEE International Conference on Computer Vision, 2019
强制性开放获取政策: 国家自然科学基金委员会
Noisy softmax: Improving the generalization ability of dcnn via postponing the early softmax saturation
B Chen, W Deng, J Du
Proceedings of the IEEE conference on computer vision and pattern …, 2017
强制性开放获取政策: 国家自然科学基金委员会
Signal-to-noise ratio: A robust distance metric for deep metric learning
T Yuan, W Deng, J Tang, Y Tang, B Chen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
强制性开放获取政策: 国家自然科学基金委员会
Fine-grained face verification: FGLFW database, baselines, and human-DCMN partnership
W Deng, J Hu, N Zhang, B Chen, J Guo
Pattern Recognition 66, 63-73, 2017
强制性开放获取政策: 国家自然科学基金委员会
Hybrid-attention based decoupled metric learning for zero-shot image retrieval
B Chen, W Deng
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
强制性开放获取政策: 国家自然科学基金委员会
Virtual class enhanced discriminative embedding learning
B Chen, W Deng, H Shen
Advances in Neural Information Processing Systems, 2018
强制性开放获取政策: 国家自然科学基金委员会
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
B Chen, W Deng
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019
强制性开放获取政策: 国家自然科学基金委员会
Virface: Enhancing face recognition via unlabeled shallow data
W Li, T Guo, P Li, B Chen, B Wang, W Zuo, L Zhang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
强制性开放获取政策: 国家自然科学基金委员会
Deep correlation feature learning for face verification in the wild
W Deng, B Chen, Y Fang, J Hu
IEEE Signal Processing Letters 24 (12), 1877-1881, 2017
强制性开放获取政策: 国家自然科学基金委员会
Optimal proposal learning for deployable end-to-end pedestrian detection
X Song, B Chen, P Li, JY He, B Wang, Y Geng, X Xie, H Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
强制性开放获取政策: 国家自然科学基金委员会
Confusion-based metric learning for regularizing zero-shot image retrieval and clustering
B Chen, W Deng, B Wang, L Zhang
IEEE Transactions on Neural Networks and Learning Systems 35 (2), 1884-1897, 2022
强制性开放获取政策: 国家自然科学基金委员会
Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Counting
M Guo, B Chen, Z Yan, Y Wang, Q Ye
IEEE Transactions on Neural Networks and Learning Systems, 2024
强制性开放获取政策: 国家自然科学基金委员会
Learning polysemantic spoof trace: A multi-modal disentanglement network for face anti-spoofing
K Li, H Yang, B Chen, P Li, B Wang, D Huang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 1351-1359, 2023
强制性开放获取政策: 国家自然科学基金委员会
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
M Guo, L Yuan, Z Yan, B Chen, Y Wang, Q Ye
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
强制性开放获取政策: 国家自然科学基金委员会
End-to-end object detection with enhanced positive sample filter
X Song, B Chen, P Li, B Wang, H Zhang
Applied Sciences 13 (3), 1232, 2023
强制性开放获取政策: 国家自然科学基金委员会
VirFace∞: A Semi-Supervised Method for Enhancing Face Recognition via Unlabeled Shallow Data
W Li, P Li, T Guo, B Chen, B Wang, W Zuo, L Zhang
IEEE Transactions on Information Forensics and Security, 2023
强制性开放获取政策: 国家自然科学基金委员会
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