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 381–390 of 1723 papers

Title	Date	Tasks	Status	Hype
Relation-aware Instance Refinement for Weakly Supervised Visual Grounding	Mar 24, 2021	ObjectRelation	CodeCode Available	1
OFFSEG: A Semantic Segmentation Framework For Off-Road Driving	Mar 23, 2021	Scene UnderstandingSegmentation	CodeCode Available	1
Detecting Human-Object Interaction via Fabricated Compositional Learning	Mar 15, 2021	Affordance RecognitionHuman-Object Interaction Detection	CodeCode Available	1
Monte Carlo Scene Search for 3D Scene Understanding	Mar 14, 2021	Scene Understanding	CodeCode Available	1
Holistic 3D Scene Understanding from a Single Image with Implicit Representation	Mar 11, 2021	3D Object Detection3D Shape Reconstruction	CodeCode Available	1
Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality	Mar 11, 2021	Scene UnderstandingTime Series	CodeCode Available	1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis	Mar 9, 2021	3d scene graph generationgraph construction	CodeCode Available	1
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning	Mar 1, 2021	Contrastive LearningPanoptic Segmentation	CodeCode Available	1
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation	Mar 1, 2021	3D Semantic SegmentationDecoder	CodeCode Available	1
Boundary-induced and scene-aggregated network for monocular depth prediction	Feb 26, 2021	Depth EstimationDepth Prediction	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