10 papers
Timestep Rescheduling in Diffusion Inversion
Shangquan Sun, Ting Gong, Zhirui Liu +5
Diffusion inversion, which maps images back to the Gaussian latent space of a diffusion model, is a critical task for image reconstruction and editing. While DDIM enables fast dete…
Learning Spatially Adaptive Structural Coordination for Underwater Salient Object Detection
Lin Hong, Chenhui Wang, Linan Deng +7
Underwater salient object detection (USOD) has attracted increasing attention for underwater scene understanding and vision-guided robotic applications. However, the spatially non-…
CAMotion: A High-Quality Benchmark for Camouflaged Moving Object Detection in the Wild
Siyuan Yao, Hao Sun, Ruiqi Yu +3
Discovering camouflaged objects is a challenging task in computer vision due to the high similarity between camouflaged objects and their surroundings. While the problem of camoufl…
UAGLNet: Uncertainty-Aggregated Global-Local Fusion Network with Cooperative CNN-Transformer for Building Extraction
Siyuan Yao, Dongxiu Liu, Taotao Li +3
Building extraction from remote sensing images is a challenging task due to the complex structure variations of the buildings. Existing methods employ convolutional or self-attenti…
UncTrack: Reliable Visual Object Tracking with Uncertainty-Aware Prototype Memory Network
Siyuan Yao, Yang Guo, Yanyang Yan +2
Transformer-based trackers have achieved promising success and become the dominant tracking paradigm due to their accuracy and efficiency. Despite the substantial progress, most of…
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
Shangquan Sun, Wenqi Ren, Zikun Liu +3
Image restoration has experienced significant advancements due to the development of deep learning. Nevertheless, it encounters challenges related to ill-posed problems, resulting…