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 651–660 of 1723 papers

Title	Date	Tasks	Status	Hype
Prospective Role of Foundation Models in Advancing Autonomous Vehicles	Dec 8, 2023	Autonomous DrivingAutonomous Vehicles	—Unverified	0
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection	Dec 5, 2023	3D Object DetectionDenoising	CodeCode Available	1
IGFNet: Illumination-Guided Fusion Network for Semantic Scene Understanding using RGB-Thermal Images	Dec 4, 2023	Autonomous DrivingScene Understanding	CodeCode Available	0
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM	Dec 4, 2023	Camera Pose EstimationNovel View Synthesis	CodeCode Available	4
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation	Dec 4, 2023	Depth EstimationGPU	CodeCode Available	4
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors	Dec 3, 2023	Active LearningInstance Segmentation	—Unverified	0
Segment Any 3D Gaussians	Dec 1, 2023	Interactive SegmentationScene Understanding	—Unverified	0
Generalized Robot 3D Vision-Language Model with Fast Rendering and Pre-Training Vision-Language Alignment	Dec 1, 2023	Contrastive LearningFew-Shot Learning	CodeCode Available	3
Gaussian Grouping: Segment and Edit Anything in 3D Scenes	Dec 1, 2023	ColorizationNeRF	CodeCode Available	2
Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding	Nov 30, 2023	GPUInductive Bias	CodeCode Available	1

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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