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 1611–1620 of 1723 papers

Title	Date	Tasks	Status
LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics	Apr 16, 2018	NavigateScene Understanding	CodeCode Available
Loss Switching Fusion with Similarity Search for Video Classification	Jun 27, 2019	ClassificationClustering	CodeCode Available
Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance	Sep 10, 2024	Bilevel OptimizationPoint Cloud Completion	CodeCode Available
AVQACL: A Novel Benchmark for Audio-Visual Question Answering Continual Learning	Jan 1, 2025	Audio-visual Question AnsweringContinual Learning	CodeCode Available
Continual Learning of Unsupervised Monocular Depth from Videos	Nov 4, 2023	Autonomous DrivingContinual Learning	CodeCode Available
FlowGrad: Using Motion for Visual Sound Source Localization	Nov 15, 2022	Optical Flow EstimationScene Understanding	CodeCode Available
An Information-Theoretic Metric of Transferability for Task Transfer Learning	May 1, 2019	General ClassificationScene Understanding	CodeCode Available
SceneAware: Scene-Constrained Pedestrian Trajectory Prediction with LLM-Guided Walkability	Jun 17, 2025	Pedestrian Trajectory PredictionScene Understanding	CodeCode Available
LoCATe-GAT: Modeling Multi-Scale Local Context and Action Relationships for Zero-Shot Action Recognition	Nov 27, 2024	Action RecognitionGraph Attention	CodeCode Available
Lightweight integration of 3D features to improve 2D image segmentation	Dec 16, 2022	Image SegmentationScene 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