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 361–370 of 1723 papers

Title	Date	Tasks	Status	Hype	Score
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection	Dec 4, 2021	3D Object DetectionObject	CodeCode Available	1	5
PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation	Jan 1, 2023	ObjectScene Understanding	CodeCode Available	1	5
Multi3DRefer: Grounding Text Description to Multiple 3D Objects	Sep 11, 2023	3D visual groundingContrastive Learning	CodeCode Available	1	5
PhysGaia: A Physics-Aware Dataset of Multi-Body Interactions for Dynamic Novel View Synthesis	Jun 3, 2025	Novel View SynthesisScene Understanding	CodeCode Available	1	5
DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects	Mar 27, 2018	General ClassificationObject	CodeCode Available	1	5
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments	Jul 10, 2022	Instance SegmentationPanoptic Segmentation	CodeCode Available	1	5
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation	Mar 2, 2022	Domain AdaptationScene Understanding	CodeCode Available	1	5
Image Segmentation Using Deep Learning: A Survey	Jan 15, 2020	DecoderDeep Learning	CodeCode Available	1	5
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection	Nov 17, 2022	3D Object DetectionDepth Estimation	CodeCode Available	1	5
MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders	Aug 27, 2024	DecoderMamba	CodeCode Available	1	5

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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