Hemodialysis 发表于 2025-3-25 04:49:35

Adversarial Robustness on In- and Out-Distribution Improves Explainability,

幼儿 发表于 2025-3-25 10:07:02

Visual Matched Filtering in Vertebratesn doing so, GroSS is able to train an entire grouped convolution architecture search-space concurrently. We demonstrate this through architecture searches with performance objectives on multiple datasets and networks. GroSS enables more effective and efficient search for grouped convolutional architectures.

郊外 发表于 2025-3-25 14:06:34

http://reply.papertrans.cn/24/2343/234215/234215_23.png

bleach 发表于 2025-3-25 16:47:45

http://reply.papertrans.cn/24/2343/234215/234215_24.png

空气传播 发表于 2025-3-25 22:31:40

http://reply.papertrans.cn/24/2343/234215/234215_25.png

Anal-Canal 发表于 2025-3-26 02:50:48

http://reply.papertrans.cn/24/2343/234215/234215_26.png

macabre 发表于 2025-3-26 04:57:32

Efficient Adversarial Attacks for Visual Object Tracking,ork based trackers. Under a single GPU, FAN is efficient in the training speed and has a strong attack performance. The FAN can generate an adversarial example at 10ms, achieve effective targeted attack (at least 40% drop rate on OTB) and untargeted attack (at least 70% drop rate on OTB).

CHIP 发表于 2025-3-26 10:09:54

What Makes Fake Images Detectable? Understanding Properties that Generalize,technique to exaggerate these detectable properties and demonstrate that, even when the image generator is adversarially finetuned against a fake image classifier, it is still imperfect and leaves detectable artifacts in certain image patches. Code is available at ..

engender 发表于 2025-3-26 14:47:06

http://reply.papertrans.cn/24/2343/234215/234215_29.png

Expressly 发表于 2025-3-26 19:26:15

http://reply.papertrans.cn/24/2343/234215/234215_30.png
页: 1 2 [3] 4 5 6 7
查看完整版本: Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur