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 1651–1660 of 1723 papers

Title	Date	Tasks	Status
SDOF-Tracker: Fast and Accurate Multiple Human Tracking by Skipped-Detection and Optical-Flow	Jun 27, 2021	Human DetectionOptical Flow Estimation	CodeCode Available
Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation	Aug 21, 2024	3D Semantic SegmentationData Augmentation	CodeCode Available
CLAIR-A: Leveraging Large Language Models to Judge Audio Captions	Sep 19, 2024	Audio captioningLanguage Modeling	CodeCode Available
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation	Apr 12, 2018	Optical Flow EstimationScene Flow Estimation	CodeCode Available
Category-level Neural Field for Reconstruction of Partially Observed Objects in Indoor Environment	Jun 12, 2024	3D ReconstructionScene Understanding	CodeCode Available
Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamics Audio-Visual Scenarios	May 21, 2023	Audio-visual Question AnsweringAudio-Visual Question Answering (AVQA)	CodeCode Available
Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks	Apr 22, 2021	RetrievalScene Recognition	CodeCode Available
Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene Understanding	Nov 28, 2022	Contrastive LearningDecision Making	CodeCode Available
Evaluating Compositional Scene Understanding in Multimodal Generative Models	Mar 29, 2025	Scene Understanding	CodeCode Available
VTQA: Visual Text Question Answering via Entity Alignment and Cross-Media Reasoning	Mar 5, 2023	Answer GenerationEntity Alignment	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