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IEEE Transactions on Pattern Analysis and Machine Intelligence|April 10, 2024
Hybrid Open-Set Segmentation With Synthetic Negative DataMatej Grcic, Sinisa Segvic
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 10, 2024
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and ProspectsKexin Zhang, Qingsong Wen, Chaoli Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 10, 2024
STMixer: A One-Stage Sparse Action DetectorTao Wu, Mengqi Cao, Ziteng Gao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 21, 2026
Active Adversarial Noise Suppression for Image Forgery LocalizationRongxuan Peng, Shunquan Tan, Xianbo Mo, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 27, 2026
DFormer++: Improving RGBD Representation Learning for Semantic SegmentationBo-Wen Yin, Jiao-Long Cao, Dan Xu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 15, 2026
Towards Enhanced Representation Learning for Single-Source Domain Generalization in LiDAR Semantic SegmentationHyeonseong Kim, Yoonsu Kang, Changgyoon Oh, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 2, 2026
EvTexture++: Event-Driven Texture Enhancement for Video Super-ResolutionDachun Kai, Jiayao Lu, Yueyi Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 26, 2026
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and AssessmentLingling Xu, Haoran Xie, S Joe Qin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 26, 2026
Adversarial Imitation Learning with General Function Approximation: Theoretical Analysis and Practical AlgorithmsTian Xu, Zhilong Zhang, Zexuan Chen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 22, 2026
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport PhenomenaPhilip Naumann, Jacob Kauffmann, Gregoire Montavon
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