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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 …
[HTML][HTML] Scene graph generation: A comprehensive survey
Deep learning techniques have led to remarkable breakthroughs in the field of object
detection and have spawned a lot of scene-understanding tasks in recent years. Scene …
detection and have spawned a lot of scene-understanding tasks in recent years. Scene …
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 …
Teaching structured vision & language concepts to vision & language models
Vision and Language (VL) models have demonstrated remarkable zero-shot performance in
a variety of tasks. However, some aspects of complex language understanding still remain a …
a variety of tasks. However, some aspects of complex language understanding still remain a …
Object-region video transformers
Recently, video transformers have shown great success in video understanding, exceeding
CNN performance; yet existing video transformer models do not explicitly model objects …
CNN performance; yet existing video transformer models do not explicitly model objects …
Bottom-up shift and reasoning for referring image segmentation
Referring image segmentation aims to segment the referent that is the corresponding object
or stuff referred by a natural language expression in an image. Its main challenge lies in how …
or stuff referred by a natural language expression in an image. Its main challenge lies in how …