Recent leading zero-shot video object segmentation (ZVOS) works devote to integrating
appearance and motion information by elaborately designing feature fusion modules and …

Salient object detection (SOD) aims to identify standout elements in a scene, with recent
advancements primarily focused on integrating depth data (RGB-D) or temporal data from …

Recently, the emergence of the large-scale vision-language model (VLM), such as CLIP,
has opened the way towards open-world object perception. Many works have explored the …

We conduct a comprehensive study on a new task named power battery detection (PBD)
which aims to localize the dense cathode and anode plates endpoints from X-ray images to …

The part-whole relational property endowed by Capsule Networks (CapsNets) has been
known successful for camouflaged object detection due to its segmentation integrity …

The recently introduced Segment Anything Model (SAM), a Visual Foundation Model (VFM),
has demonstrated impressive capabilities in zero-shot segmentation tasks across diverse …

As a foundational model, SAM has significantly influenced multiple fields within computer
vision, and its upgraded version, SAM 2, enhances capabilities in video segmentation …

This paper tackles the challenge of accurately segmenting images of Ming-style furniture, an
important aspect of China's cultural heritage, to aid in its preservation and analysis. Existing …

Medical image segmentation is a pivotal research domain that has garnered widespread
attention in contemporary medical diagnostics. In pursuit of enhancing network efficacy …

Colonoscopy is a gold standard, while automated polyp segmentation can minimize missed
rates and timely treatment of colon cancer at an early stage. But most existing polyp …