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 341–350 of 1723 papers

Title	Date	Tasks	Status	Hype
A Versatile and Efficient Reinforcement Learning Framework for Autonomous Driving	Oct 22, 2021	Autonomous Drivingreinforcement-learning	CodeCode Available	1
PlaneRecNet: Multi-Task Learning with Cross-Task Consistency for Piece-Wise Plane Detection and Reconstruction from a Single RGB Image	Oct 21, 2021	DecoderDepth Estimation	CodeCode Available	1
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images	Oct 5, 2021	Autonomous NavigationLane Detection	CodeCode Available	1
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D	Sep 28, 2021	Multiple Object TrackingNovel View Synthesis	CodeCode Available	1
Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds	Sep 23, 2021	3D Semantic Scene Completion3D Semantic Segmentation	CodeCode Available	1
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation	Sep 20, 2021	DecoderPrediction	CodeCode Available	1
PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds	Sep 12, 2021	object-detectionObject Detection	CodeCode Available	1
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds	Sep 1, 2021	3D Object Detection3D Point Cloud Classification	CodeCode Available	1
From General to Specific: Informative Scene Graph Generation via Balance Adjustment	Aug 30, 2021	BlockingGraph Generation	CodeCode Available	1
DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization	Aug 24, 2021	DiversityGraph Neural Network	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