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IEEE Transactions on Pattern Analysis and Machine Intelligence|September 21, 2021
Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural NetworksJibin Wu, Chenglin Xu, Xiao Han, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 29, 2022
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time SegmentationThomas Verelst, Tinne Tuytelaars
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 29, 2022
Heterogeneous Domain Adaptation With Adversarial Neural Representation Learning: Experiments on E-Commerce and CybersecurityMohammadreza Ebrahimi, Yidong Chai, Hao Helen Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 30, 2022
Learning Graph Embeddings for Open World Compositional Zero-Shot LearningMassimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 13, 2022
Reinforcing Generated Images via Meta-Learning for One-Shot Fine-Grained Visual RecognitionSatoshi Tsutsui, Yanwei Fu, David Crandall
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 13, 2023
Revisiting Confidence Estimation: Towards Reliable Failure PredictionFei Zhu, Xu-Yao Zhang, Zhen Cheng, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 13, 2023
X 2-VLM: All-in-One Pre-Trained Model for Vision-Language TasksYan Zeng, Xinsong Zhang, Hang Li, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 6, 2023
DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video GenerationFa-Ting Hong, Li Shen, Dan Xu
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 6, 2023
A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural NetworksXinyi Chen, Qu Yang, Jibin Wu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 1, 2023
Knockoffs-SPR: Clean Sample Selection in Learning With Noisy LabelsYikai Wang, Yanwei Fu, Xinwei Sun
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