Open-world instance segmentation is a rising task, which aims to segment...
Large language models (LLMs) have notably accelerated progress towards
a...
In this work, we present Multi-Level Contrastive Learning for Dense
Pred...
All instance perception tasks aim at finding certain objects specified b...
Masked autoencoders (MAEs) have emerged recently as art self-supervised
...
Referring video object segmentation (R-VOS) is an emerging cross-modal t...
Temporal Action Detection (TAD) is an essential and challenging topic in...