Titlebook: Computer Vision – ECCV 2020 Workshops; Glasgow, UK, August Adrien Bartoli,Andrea Fusiello Conference proceedings 2020 Springer Nature Swit

Ointment

Defenses Against Multi-sticker Physical Domain Attacks on Classifiersykholt et al. can fool a classifier by placing black and white stickers on an object such as a road sign. While this attack may pose a significant threat to visual classifiers, there are currently no defenses designed to protect against this attack. In this paper, we propose new defenses that can pr

確定方向

Adversarial Attack on Deepfake Detection Using RL Based Texture Patchespolitical opinion, recent research has focused on ways to better detect deepfake videos. Even though researchers have had some success in detecting deepfake videos, it has been found that these detection systems can be attacked..The key contributions of this paper are (a) a deepfake dataset created

外來

A Subpixel Residual U-Net and Feature Fusion Preprocessing for Retinal Vessel Segmentation extraction of the vessels is vital for computer-aided diagnostic systems to provide a speedy and precise diagnosis. This paper introduces SpruNet, a Subpixel Convolution based Residual U-Net architecture which re-purposes subpixel convolutions as down-sampling and up-sampling method. The proposed s

JOT

Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentationeworks have shown high performance in image segmentation. In this paper, we propose Attention Deeplabv3+, an extended version of Deeplabv3+ for skin lesion segmentation by employing the idea of attention mechanism in two stages. We first capture the relationship between the channels of a set of feat

grandiose

BACLE

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234239.jpg

squander

ascetic