商谈
发表于 2025-3-26 23:04:29
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Commentary
发表于 2025-3-27 04:42:05
,Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off,than previously reported. We also demonstrate a size-bias: small objects are often more easily attacked, even if the large objects are robust, a phenomenon not revealed by current evaluation metrics. Our results also demonstrate that a diverse set of strong attacks is necessary, because different mo
APO
发表于 2025-3-27 05:17:21
,SKYSCENES: A Synthetic Dataset for Aerial Scene Understanding,point conditions (height and pitch), weather and time of day, and (4) incorporating additional sensor modalities (depth) can improve aerial scene understanding. Our dataset and associated generation code are publicly available at:
organic-matrix
发表于 2025-3-27 11:19:20
Large-Scale Multi-hypotheses Cell Tracking Using Ultrametric Contours Maps,a faster integer linear programming formulation, and the framework is flexible, supporting segmentations from individual off-the-shelf cell segmentation models or their combination as an ensemble. The code is available as supplementary material.
远足
发表于 2025-3-27 14:32:29
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外貌
发表于 2025-3-27 20:06:23
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Minutes
发表于 2025-3-27 23:29:00
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不连贯
发表于 2025-3-28 02:52:47
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endarterectomy
发表于 2025-3-28 06:20:25
,EraseDraw: Learning to Insert Objects by Erasing Them from Images,r model achieves state-of-the-art results in object insertion, particularly for in-the-wild images. We show compelling results on diverse insertion prompts and images across various domains. In addition, we automate iterative insertion by combining our insertion model with beam search guided by CLIP
inquisitive
发表于 2025-3-28 14:25:39
,SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-device Inference,tedly for each case. SuperFedNAS addresses these challenges by decoupling the training and search in federated NAS. SuperFedNAS co-trains a large number of diverse DNN architectures contained inside one supernet in the FL setting. Post-training, clients perform NAS locally to find specialized DNNs b