106 citations · 117 across the 5 of their papers we have counts for
5 papers
Towards Real Zero-Shot Camouflaged Object Segmentation without Camouflaged Annotations
Cheng Lei, Jie Fan, Xinran Li +4
Camouflaged Object Segmentation (COS) faces significant challenges due to the scarcity of annotated data, where meticulous pixel-level annotation is both labor-intensive and costly…
Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection
Siyuan Yao, Hao Sun, Tian-Zhu Xiang +2
Camouflaged object detection (COD) aims to identify the objects that seamlessly blend into the surrounding backgrounds. Due to the intrinsic similarity between the camouflaged obje…
Adaptive Guidance Learning for Camouflaged Object Detection
Zhennan Chen, Xuying Zhang, Tian-Zhu Xiang +1
Camouflaged object detection (COD) aims to segment objects visually embedded in their surroundings, which is a very challenging task due to the high similarity between the objects…
Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark
Cong Zhang, Hongbo Bi, Tian-Zhu Xiang +3
In this paper, we provide a comprehensive study on a new task called collaborative camouflaged object detection (CoCOD), which aims to simultaneously detect camouflaged objects wit…
ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection
Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang +2
Recent camouflaged object detection (COD) attempts to segment objects visually blended into their surroundings, which is extremely complex and difficult in real-world scenarios. Ap…