All instance perception tasks aim at finding certain objects specified by some queries such
as category names, language expressions, and target annotations, but this complete field …

Visual semantic segmentation aims at separating a visual sample into diverse blocks with
specific semantic attributes and identifying the category for each block, and it plays a crucial …

Referring video object segmentation (RVOS) aims at segmenting an object in a video
following human instruction. Current state-of-the-art methods fall into an offline pattern, in …

Current referring video object segmentation (R-VOS) techniques extract conditional kernels
from encoded (low-resolution) vision-language features to segment the decoded high …

Video saliency detection (VSD) aims at fast locating the most attractive
objects/things/patterns in a given video clip. Existing VSD-related works have mainly relied …

Abstract Referring Video Object Segmentation (R-VOS) is a challenging task that aims to
segment an object in a video based on a linguistic expression. Most existing R-VOS …

We explore the task of language-guided video segmentation (LVS). Previous algorithms
mostly adopt 3D CNNs to learn video representation, struggling to capture long-term context …

The reference-based object segmentation tasks, namely referring image segmentation
(RIS), referring video object segmentation (RVOS), and video object segmentation (VOS) …

Abstract Existing CNNs-Based RGB-D salient object detection (SOD) networks are all
required to be pretrained on the ImageNet to learn the hierarchy features which helps …

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