Abstract Video Moment Retrieval (MR) and Highlight Detection (HD) have attracted
significant attention due to the growing demand for video analysis. Recent approaches treat …

This paper studies open-vocabulary segmentation (OVS) through calibrating in-vocabulary
and domain-biased embedding space with generalized contextual prior of CLIP. As the core …

This paper aims to achieve universal segmentation of arbitrary semantic level. Despite
significant progress in recent years specialist segmentation approaches are limited to …

Referring video segmentation relies on natural language expressions to identify and
segment objects often emphasizing motion clues. Previous works treat a sentence as a …

Linguistic communication is prevalent in Human-Computer Interaction (HCI). Speech
(spoken language) serves as a convenient yet potentially ambiguous form due to noise and …

Referring video object segmentation (RVOS) aims to segment the target instance referred by
a given text expression in a video clip. The text expression normally contains sophisticated …

The recent transformer-based models have dominated the Referring Video Object
Segmentation (RVOS) task due to the superior performance. Most prior works adopt unified …

Video target segmentation is a fundamental problem in computer vision that aims to
segment targets from a background by learning their appearance information and movement …

Fine-grained ship classification in remote sensing (RS-FGSC) poses a significant challenge
due to the high similarity between classes and the limited availability of labeled data, limiting …

Referring Video Object Segmentation (R-VOS) methods face challenges in maintaining
consistent object segmentation due to temporal context variability and the presence of other …