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 1661–1670 of 1723 papers

Title	Date	Tasks	Status
ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation	Oct 9, 2017	GPUReal-Time Semantic Segmentation	CodeCode Available
ASI-Seg: Audio-Driven Surgical Instrument Segmentation with Surgeon Intention Understanding	Jul 28, 2024	Contrastive LearningIntention-oriented Segmentation	CodeCode Available
SeGAN: Segmenting and Generating the Invisible	Mar 29, 2017	Depth EstimationScene Understanding	CodeCode Available
Artificial Color Constancy via GoogLeNet with Angular Loss Function	Nov 20, 2018	Color ConstancyObject Recognition	CodeCode Available
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation	Oct 2, 2023	BenchmarkingContinual Learning	CodeCode Available
Temporally Consistent Horizon Lines	Jul 23, 2019	3D ReconstructionAutonomous Vehicles	CodeCode Available
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentation	Feb 17, 2022	2D Object DetectionAutonomous Driving	CodeCode Available
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions	Feb 13, 2018	BIG-bench Machine LearningManagement	CodeCode Available
Efficient ConvNet for Real-time Semantic Segmentation	Jun 1, 2017	GPUReal-Time Semantic Segmentation	CodeCode Available
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence	May 22, 2019	Optical Flow EstimationScene Understanding	CodeCode Available

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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