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 referring video object segmentation (RVOS) by boosting video-level
visual-linguistic alignment. Recent approaches model the RVOS task as a sequence …

Deep learning (DL)-based surface defect detectors play a crucial role in ensuring product
quality during inspection processes. However, accurately and efficiently detecting defects …

The state space models, employing recursively propagated features, demonstrate strong
representation capabilities comparable to Transformer models and superior efficiency …

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

Contrastive Language-Audio Pretraining (CLAP) is pre-trained to associate audio features
with human language, making it a natural zero-shot classifier to recognize unseen sound …

Storing intermediate frame segmentations as memory for long-range context modeling,
spatial-temporal memory-based methods have recently showcased impressive results in …

Patch embedding has been a significant advancement in Transformer-based models,
particularly the Vision Transformer (ViT), as it enables handling larger image sizes and …