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A comprehensive survey of scene graphs: Generation and application
Scene graph is a structured representation of a scene that can clearly express the objects,
attributes, and relationships between objects in the scene. As computer vision technology …
attributes, and relationships between objects in the scene. As computer vision technology …
A survey on graph neural networks and graph transformers in computer vision: A task-oriented perspective
Graph Neural Networks (GNNs) have gained momentum in graph representation learning
and boosted the state of the art in a variety of areas, such as data mining (eg, social network …
and boosted the state of the art in a variety of areas, such as data mining (eg, social network …
The all-seeing project v2: Towards general relation comprehension of the open world
Abstract We present the All-Seeing Project V2: a new model and dataset designed for
understanding object relations in images. Specifically, we propose the All-Seeing Model V2 …
understanding object relations in images. Specifically, we propose the All-Seeing Model V2 …
Unbiased scene graph generation from biased training
Today's scene graph generation (SGG) task is still far from practical, mainly due to the
severe training bias, eg, collapsing diverse" human walk on/sit on/lay on beach" into" human …
severe training bias, eg, collapsing diverse" human walk on/sit on/lay on beach" into" human …
Bipartite graph network with adaptive message passing for unbiased scene graph generation
Scene graph generation is an important visual understanding task with a broad range of
vision applications. Despite recent tremendous progress, it remains challenging due to the …
vision applications. Despite recent tremendous progress, it remains challenging due to the …
Panoptic scene graph generation
Existing research addresses scene graph generation (SGG)—a critical technology for scene
understanding in images—from a detection perspective, ie., objects are detected using …
understanding in images—from a detection perspective, ie., objects are detected using …
Reltr: Relation transformer for scene graph generation
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 …
number of these relationships are noteworthy. Inspired by Detection Transformer, which …
Gps-net: Graph property sensing network for scene graph generation
Scene graph generation (SGG) aims to detect objects in an image along with their pairwise
relationships. There are three key properties of scene graph that have been underexplored …
relationships. There are three key properties of scene graph that have been underexplored …
Scenegraphfusion: Incremental 3d scene graph prediction from rgb-d sequences
Scene graphs are a compact and explicit representation successfully used in a variety of 2D
scene understanding tasks. This work proposes a method to build up semantic scene …
scene understanding tasks. This work proposes a method to build up semantic scene …
Sgtr: End-to-end scene graph generation with transformer
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 …
due to its compositional property. Most previous works adopt a bottom-up two-stage or a …