biopsy 发表于 2025-4-1 05:39:12

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Blood-Vessels 发表于 2025-4-1 09:08:15

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Inexorable 发表于 2025-4-1 10:14:13

-means Mask Transformer, as a clustering process. Inspired by the traditional .-means clustering algorithm, we develop a .-means .sk .former (.MaX-DeepLab) for segmentation tasks, which not only improves the state-of-the-art, but also enjoys a simple and elegant design. As a result, our .MaX-DeepLab achieves a new state-of

杠杆支点 发表于 2025-4-1 16:22:25

,SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robuk, we propose an effective and efficient segmentation attack method, dubbed SegPGD. Besides, we provide a convergence analysis to show the proposed SegPGD can create more effective adversarial examples than PGD under the same number of attack iterations. Furthermore, we propose to apply our SegPGD a

停止偿付 发表于 2025-4-1 21:45:25

,Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Sethey usually suffer from the over-expansion due to an absence of guidelines on when to stop erasing. We experimentally verify that the over-expansion is due to rigid classification, and metric learning can be a flexible remedy for it. AEFT is devised to learn the concept of erasing with the triplet
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查看完整版本: Titlebook: Computer Vision – ECCV 2022; 17th European Confer Shai Avidan,Gabriel Brostow,Tal Hassner Conference proceedings 2022 The Editor(s) (if app