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 221–230 of 1723 papers

Title	Date	Tasks	Status	Hype	Score
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering	Jun 4, 2021	Meta-LearningScene Understanding	CodeCode Available	1	5
Estimating Generic 3D Room Structures from 2D Annotations	Jun 15, 2023	Scene Understanding	CodeCode Available	1	5
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving	Jun 1, 2020	3D Object DetectionAutonomous Driving	CodeCode Available	1	5
AVSegFormer: Audio-Visual Segmentation with Transformer	Jul 3, 2023	DecoderScene Understanding	CodeCode Available	1	5
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and Reasoning	May 31, 2022	Common Sense ReasoningGraph Generation	CodeCode Available	1	5
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving	May 13, 2025	3D visual groundingAutonomous Driving	CodeCode Available	1	5
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks	Mar 28, 2020	3D Medical Imaging SegmentationAction Recognition	CodeCode Available	1	5
Deep learning for radar data exploitation of autonomous vehicle	Mar 15, 2022	Autonomous DrivingDeep Learning	CodeCode Available	1	5
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames	Nov 1, 2019	Autonomous NavigationGPU	CodeCode Available	1	5
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge	Sep 12, 2022	Instance SegmentationObject Detection	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