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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 …
Image generation: A review
M Elasri, O Elharrouss, S Al-Maadeed, H Tairi - Neural Processing Letters, 2022 - Springer
The creation of an image from another and from different types of data including text, scene
graph, and object layout, is one of the very challenging tasks in computer vision. In addition …
graph, and object layout, is one of the very challenging tasks in computer vision. In addition …
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
Y Cong, MY Yang, B Rosenhahn - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …
Visual semantic reasoning for image-text matching
Image-text matching has been a hot research topic bridging the vision and language areas.
It remains challenging because the current representation of image usually lacks global …
It remains challenging because the current representation of image usually lacks global …
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 …
Deep learning approaches on image captioning: A review
T Ghandi, H Pourreza, H Mahyar - ACM Computing Surveys, 2023 - dl.acm.org
Image captioning is a research area of immense importance, aiming to generate natural
language descriptions for visual content in the form of still images. The advent of deep …
language descriptions for visual content in the form of still images. The advent of deep …