4 papers
RefOnce: Distilling References into a Prototype Memory for Referring Camouflaged Object Detection
Yu-Huan Wu, Zi-Xuan Zhu, Yan Wang +2
Referring Camouflaged Object Detection (Ref-COD) segments specified camouflaged objects in a scene by leveraging a small set of referring images. Though effective, current systems…
GAPNet: A Lightweight Framework for Image and Video Salient Object Detection via Granularity-Aware Paradigm
Yu-Huan Wu, Wei Liu, Zi-Xuan Zhu +3
Recent salient object detection (SOD) models predominantly rely on heavyweight backbones, incurring substantial computational cost and hindering their practical application in vari…
Low-Resolution Self-Attention for Semantic Segmentation
Yu-Huan Wu, Shi-Chen Zhang, Yun Liu +6
Semantic segmentation tasks naturally require high-resolution information for pixel-wise segmentation and global context information for class prediction. While existing vision tra…
A Survey and Evaluation of Adversarial Attacks for Object Detection
Khoi Nguyen Tiet Nguyen, Wenyu Zhang, Kangkang Lu +4
Deep learning models achieve remarkable accuracy in computer vision tasks, yet remain vulnerable to adversarial examples--carefully crafted perturbations to input images that can d…