宽敞
发表于 2025-3-28 17:12:10
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严厉批评
发表于 2025-3-28 19:55:08
FAPN: Face Alignment Propagation Network for Face Video Super-Resolutionidirectional propagation (UP) structure for propagation. Meanwhile, in the UP structure, the facial prior information is filtered and accumulated in the face super-resolution cell (FSRC), and the high-dimensional hidden state is introduced to propagate effective temporal information between frames a
沟通
发表于 2025-3-28 23:33:19
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改良
发表于 2025-3-29 06:11:24
Enhancing Federated Learning Robustness Through Clustering Non-IID Featuresni-FL first performs unsupervised learning for the gradients received to define the grouping policy. Then, the server divides the gradients received into different groups according to the grouping policy defined and performs byzantine-robust aggregation. Finally, the server calculates the weighted m
Gullible
发表于 2025-3-29 07:40:50
Towards Improving the Anti-attack Capability of the RangeNet++he real world based on the range image, then add it into the training set for training. The experimental results show that the proposed approaches can effectively improve the RangeNet + +’s defense ability against adversarial attacks, and meanwhile enhance the RangeNet++ model’s robustness.
稀释前
发表于 2025-3-29 13:10:33
Understanding Tumor Micro Environment Using Graph Theoryl level graph-based algorithms, including the global cell graph, cluster cell graph, hierarchical graph modeling and FLocK. The proposed method achieves better performance than the existing algorithms with mean diagnosis accuracy of 0.70833.
fixed-joint
发表于 2025-3-29 18:59:50
Handling Domain Shift for Lesion Detection via Semi-supervised Domain Adaptationrom the target domain along with labeled source samples are used to adapt the detector using an over-fitting aware and periodic gradient update based joint few-shot fine-tuning technique. Further, we utilize a self-supervision scheme to obtain pseudo-labels having high-confidence on the unlabeled ta
CRUC
发表于 2025-3-29 22:21:54
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Creditee
发表于 2025-3-30 01:53:10
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令人苦恼
发表于 2025-3-30 07:01:12
Towards Scene Understanding for Autonomous Operations on Airport Apronsons. The results are quite promising for future applications and provide essential insights regarding the selection of aggregation strategies as well as current potentials and limitations of similar approaches in this research domain.