Video object segmentation (VOS) aims at segmenting a particular object throughout the
entire video clip sequence. The state-of-the-art VOS methods have achieved excellent …

Unbiased SGG has achieved significant progress over recent years. However, almost all
existing SGG models have overlooked the ground-truth annotation qualities of prevailing …

Different objects in the same scene are more or less related to each other, but only a limited
number of these relationships are noteworthy. Inspired by Detection Transformer, which …

Abstract Scene Graph Generation, which generally follows a regular encoder-decoder
pipeline, aims to first encode the visual contents within the given image and then parse them …

Abstract Scene Graph Generation (SGG) remains a challenging visual understanding task
due to its compositional property. Most previous works adopt a bottom-up two-stage or a …

Abstract Scene Graph Generation (SGG) aims to detect all the visual relation triplets< sub,
pred, obj> in a given image. With the emergence of various advanced techniques for better …

Scene graph generation (SGG) is designed to extract (subject, predicate, object) triplets in
images. Recent works have made a steady progress on SGG, and provide useful tools for …

Scene graph generation is an important task in computer vision aimed at improving the
semantic understand-ing of the visual world. In this task, the model needs to detect objects …

Scene graph generation aims to construct a semantic graph structure from an image such
that its nodes and edges respectively represent objects and their relationships. One of the …

Abstract Scene Graph Generation (SGG) has attracted more and more attention from visual
researchers in recent years, since Scene Graph (SG) is valuable in many downstream tasks …