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IEEE Transactions on Pattern Analysis and Machine Intelligence|October 6, 2023
Semi-Supervised Learning for FGVC With Out-of-Category DataRuoyi Du, Dongliang Chang, Zhanyu Ma, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 26, 2023
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot LearningYang Shu, Zhangjie Cao, Jinghan Gao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 26, 2023
Correlation Recurrent Units: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series DataSunghyun Sim, Dohee Kim, Hyerim Bae
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 27, 2023
Multi-View Discrete Clustering: A Concise ModelQianyao Qiang, Bin Zhang, Fei Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 19, 2023
Fine-Grained Species Recognition With Privileged Pooling: Better Sample Efficiency Through Supervised AttentionAndres C Rodriguez, Stefano D'Aronco, Konrad Schindler, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 3, 2024
Sparse Non-Local CRF With ApplicationsOlga Veksler, Yuri Boykov
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 24, 2024
Unsupervised Dual Deep Hashing With Semantic-Index and Content-Code for Cross-Modal RetrievalBin Zhang, Yue Zhang, Junyu Li, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 20, 2024
Multi-Sensor Learning Enables Information Transfer Across Different Sensory Data and Augments Multi-Modality ImagingLingting Zhu, Yizheng Chen, Lianli Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 23, 2024
Test-time Training for Hyperspectral Image Super-resolutionKe Li, Luc Van Gool, Dengxin Dai
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 19, 2024
Revisiting Nonlocal Self-Similarity from Continuous RepresentationYisi Luo, Xile Zhao, Deyu Meng
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