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 1101–1110 of 1723 papers

Title	Date	Tasks	Status	Hype
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
Audio-Visual Collaborative Representation Learning for Dynamic Saliency Prediction	Sep 17, 2021	Representation LearningSaliency Prediction	—Unverified	0
Label-Attention Transformer with Geometrically Coherent Objects for Image Captioning	Sep 16, 2021	DecoderImage Captioning	CodeCode Available	0
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images	Sep 15, 2021	Autonomous NavigationDecision Making	—Unverified	0
On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation	Sep 13, 2021	AttributeDepth Estimation	—Unverified	0
PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds	Sep 12, 2021	object-detectionObject Detection	CodeCode Available	1
Residual 3D Scene Flow Learning with Context-Aware Feature Extraction	Sep 10, 2021	Autonomous DrivingScene Flow Estimation	—Unverified	0
Single Image 3D Object Estimation with Primitive Graph Networks	Sep 9, 2021	Graph Neural NetworkObject	CodeCode Available	0
RefineCap: Concept-Aware Refinement for Image Captioning	Sep 8, 2021	DecoderDescriptive	—Unverified	0

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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