322 citations · 341 across the 8 of their papers we have counts for
8 papers
A Unified Query-based Paradigm for Camouflaged Instance Segmentation
Bo Dong, Jialun Pei, Rongrong Gao +3
Due to the high similarity between camouflaged instances and the background, the recently proposed camouflaged instance segmentation (CIS) faces challenges in accurate localization…
CamDiff: Camouflage Image Augmentation via Diffusion Model
Xue-Jing Luo, Shuo Wang, Zongwei Wu +4
The burgeoning field of camouflaged object detection (COD) seeks to identify objects that blend into their surroundings. Despite the impressive performance of recent models, we hav…
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers
Zhou Huang, Hang Dai, Tian-Zhu Xiang +4
Vision transformers have recently shown strong global context modeling capabilities in camouflaged object detection. However, they suffer from two major limitations: less effective…
Memory-aided Contrastive Consensus Learning for Co-salient Object Detection
Peng Zheng, Jie Qin, Shuo Wang +2
Co-Salient Object Detection (CoSOD) aims at detecting common salient objects within a group of relevant source images. Most of the latest works employ the attention mechanism for f…
Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View
Shuo Wang, Xinhai Zhao, Hai-Ming Xu +5
Multi-view 3D object detection (MV3D-Det) in Bird-Eye-View (BEV) has drawn extensive attention due to its low cost and high efficiency. Although new algorithms for camera-only 3D o…
Source-free Depth for Object Pop-out
Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan +5
Depth cues are known to be useful for visual perception. However, direct measurement of depth is often impracticable. Fortunately, though, modern learning-based methods offer promi…
TANet: Transformer-based Asymmetric Network for RGB-D Salient Object Detection
Chang Liu, Gang Yang, Shuo Wang +3
Existing RGB-D SOD methods mainly rely on a symmetric two-stream CNN-based network to extract RGB and depth channel features separately. However, there are two problems with the sy…
Boundary-Guided Camouflaged Object Detection
Yujia Sun, Shuo Wang, Chenglizhao Chen +1
Camouflaged object detection (COD), segmenting objects that are elegantly blended into their surroundings, is a valuable yet challenging task. Existing deep-learning methods often…