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 521–530 of 1723 papers

Title	Date	Tasks	Status	Score
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning	Nov 26, 2024	Objectobject-detection	CodeCode Available	5
One model to use them all: Training a segmentation model with complementary datasets	Feb 29, 2024	AllAnatomy	CodeCode Available	5
APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds	May 15, 2025	Point Cloud SegmentationScene Understanding	CodeCode Available	5
On the iterative refinement of densely connected representation levels for semantic segmentation	Apr 30, 2018	Image SegmentationScene Understanding	CodeCode Available	5
OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy Representation	Mar 18, 2024	3D Reconstruction3D Scene Reconstruction	CodeCode Available	5
DRRNet: Macro-Micro Feature Fusion and Dual Reverse Refinement for Camouflaged Object Detection	May 14, 2025	object-detectionObject Detection	CodeCode Available	5
Boundary-Seeking Generative Adversarial Networks	Feb 27, 2017	Scene UnderstandingText Generation	CodeCode Available	5
Object Attribute Matters in Visual Question Answering	Dec 20, 2023	AttributeGraph Neural Network	CodeCode Available	5
Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse Weather	Nov 21, 2022	Autonomous DrivingGPU	CodeCode Available	5
Object-aware Sound Source Localization via Audio-Visual Scene Understanding	Jan 1, 2025	Scene UnderstandingSound Source Localization	CodeCode Available	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