Abstract Moving Object Segmentation (MOS) in machine learning and computer vision is
gaining much interest among researchers in recent times. This field of dynamic scene …

Referring image segmentation (RIS) is a fundamental cross-modal task that aims to predict
the pixel-level segmentation mask of the target referred by a natural language expression …

The typical shortcoming of STM (Space-Time Memory Network) mode video object
segmentation algorithms is their high segmentation performance coupled with slow …

Basketball video image segmentation is important in image processing and computervision,
which is significant for improving image quality and enhancing visual effects. However …

Video coding can effectively compress data, while the introduction of compression artifacts
degrades the visual quality and the performance of artificial intelligence video applications …

Under limited bandwidth conditions, video transmission often employs lossy compression to
reduce the data volume, inevitably introducing compression noise. Quality enhancement of …

Abstract Video Object Segmentation (VOS) is a fundamental task with many real-world
computer vision applications and challenging due to available distractors and background …