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IEEE Transactions on Pattern Analysis and Machine Intelligence|February 3, 2021
Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal AttributesYiqun Zhang, Yiu-Ming Cheung
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 29, 2021
Hierarchical Human Semantic Parsing With Comprehensive Part-Relation ModelingWenguan Wang, Tianfei Zhou, Siyuan Qi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 29, 2019
Visual Tracking via Dynamic Memory NetworksTianyu Yang, Antoni B Chan
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 29, 2019
Rotation Averaging with the Chordal Distance: Global Minimizers and Strong DualityAnders Eriksson, Carl Olsson, Fredrik Kahl, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 29, 2019
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic UnderstandingChenxu Luo, Zhenheng Yang, Peng Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 7, 2022
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative SamplingShilong Bao, Qianqian Xu, Zhiyong Yang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 31, 2021
A Pose-Only Solution to Visual Reconstruction and NavigationQi Cai, Lilian Zhang, Yuanxin Wu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 6, 2021
Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and BeyondRisheng Liu, Jiaxin Gao, Jin Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 9, 2021
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement LearningWenjie Shi, Gao Huang, Shiji Song, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 9, 2021
MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental LearningHanbin Zhao, Yongjian Fu, Mintong Kang, et al.
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