biopsy 发表于 2025-4-1 05:39:12
http://reply.papertrans.cn/24/2343/234249/234249_61.pngBlood-Vessels 发表于 2025-4-1 09:08:15
http://reply.papertrans.cn/24/2343/234249/234249_62.pngInexorable 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