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 181–190 of 1723 papers

Title	Date	Tasks	Status	Hype	Score
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames	Nov 1, 2019	Autonomous NavigationGPU	CodeCode Available	1	5
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding	Jan 28, 2022	Graph AttentionKnowledge Distillation	CodeCode Available	1	5
AVSegFormer: Audio-Visual Segmentation with Transformer	Jul 3, 2023	DecoderScene Understanding	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
Beyond Appearances: Material Segmentation with Embedded Spectral Information from RGB-D imagery	May 17, 2024	Material ClassificationMaterial Recognition	CodeCode Available	1	5
Grounded Situation Recognition with Transformers	Nov 19, 2021	DecoderGrounded Situation Recognition	CodeCode Available	1	5
General Geometry-aware Weakly Supervised 3D Object Detection	Jul 18, 2024	3D Object DetectionObject	CodeCode Available	1	5
CoPeD-Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World Environments	May 23, 2024	Pose EstimationScene Understanding	CodeCode Available	1	5
F-ViTA: Foundation Model Guided Visible to Thermal Translation	Apr 3, 2025	Scene UnderstandingStyle Transfer	CodeCode Available	1	5
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation	Jul 19, 2023	Representation LearningScene Understanding	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