Scene Understanding

Scene understanding involves interpreting the visual information of a scene, including objects, their spatial relationships, and the overall layout. It goes beyond simple object recognition by considering the context and how objects relate to each other and the environment.

Papers

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Showing 211–220 of 1723 papers

Title	Date	Tasks	Status	Hype	Score
A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning	Mar 10, 2025	ObjectScene Understanding	CodeCode Available	1	5
Boundary-induced and scene-aggregated network for monocular depth prediction	Feb 26, 2021	Depth EstimationDepth Prediction	CodeCode Available	1	5
Instance-wise Occlusion and Depth Orders in Natural Scenes	Nov 29, 2021	Depth EstimationDepth Prediction	CodeCode Available	1	5
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation	Mar 28, 2023	Panoptic Scene Graph GenerationScene Graph Generation	CodeCode Available	1	5
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge	May 31, 2019	object-detectionObject Detection	CodeCode Available	1	5
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge	Nov 21, 2023	Large Language ModelMultimodal Deep Learning	CodeCode Available	1	5
EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery	Jan 20, 2025	Language ModelingLanguage Modelling	CodeCode Available	1	5
AVSegFormer: Audio-Visual Segmentation with Transformer	Jul 3, 2023	DecoderScene Understanding	CodeCode Available	1	5
Hearing and Seeing Through CLIP: A Framework for Self-Supervised Sound Source Localization	May 8, 2025	Scene UnderstandingSound Source Localization	CodeCode Available	1	5
HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans	Sep 12, 2023	3D Object Retrieval3D Scene Reconstruction	CodeCode Available	1	5

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All datasets Semantic Scene Understanding Challenge (passive actuation & ground-truth localisation)ADE20K val Semantic Scene Understanding Challenge (active actuation & ground-truth localisation)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ACRV Baseline	OMQ	0.44	—	Unverified
2	Team VGAI (TCS Research)	OMQ	0.37	—	Unverified
3	Demo_semantic_SLAM	OMQ	0.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CPN(ResNet-101)	Mean IoU	46.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ACRV Baseline	OMQ	0.35	—	Unverified