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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 701–710 of 1723 papers

Title	Date	Tasks	Status	Score
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation	Apr 12, 2018	Optical Flow EstimationScene Flow Estimation	CodeCode Available	5
Fast Scene Understanding for Autonomous Driving	Aug 8, 2017	Autonomous DrivingDecoder	CodeCode Available	5
Artificial Color Constancy via GoogLeNet with Angular Loss Function	Nov 20, 2018	Color ConstancyObject Recognition	CodeCode Available	5
Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors	May 30, 2025	3D geometryLarge Language Model	CodeCode Available	5
CLAIR-A: Leveraging Large Language Models to Judge Audio Captions	Sep 19, 2024	Audio captioningLanguage Modeling	CodeCode Available	5
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates	Jun 28, 2021	Depth EstimationInstance Segmentation	CodeCode Available	5
Implicit Background Estimation for Semantic Segmentation	May 23, 2019	Scene UnderstandingSegmentation	CodeCode Available	5
Label-Attention Transformer with Geometrically Coherent Objects for Image Captioning	Sep 16, 2021	DecoderImage Captioning	CodeCode Available	5
Language-based Colorization of Scene Sketches	Nov 17, 2019	ColorizationImage Generation	CodeCode Available	5
Joint stereo 3D object detection and implicit surface reconstruction	Nov 25, 2021	3D Object DetectionHallucination	CodeCode Available	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