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 641–650 of 1723 papers

Title	Date	Tasks	Status	Hype
Weakly-Supervised 3D Visual Grounding based on Visual Linguistic Alignment	Dec 15, 2023	3D visual groundingNatural Language Queries	—Unverified	0
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding	Dec 14, 2023	Scene UnderstandingTransfer Learning	—Unverified	0
Dietary Assessment with Multimodal ChatGPT: A Systematic Analysis	Dec 14, 2023	Image CaptioningScene Understanding	—Unverified	0
Zoom in on the Plant: Fine-grained Analysis of Leaf, Stem and Vein Instances	Dec 14, 2023	Scene Understanding	CodeCode Available	0
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments	Dec 14, 2023	3D ReconstructionDecoder	CodeCode Available	1
Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers	Dec 13, 2023	3D Question Answering (3D-QA)Attribute	CodeCode Available	2
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge Transfer	Dec 12, 2023	Action RecognitionAction Segmentation	CodeCode Available	0
Spatiotemporal Event Graphs for Dynamic Scene Understanding	Dec 11, 2023	Action DetectionActivity Detection	—Unverified	0
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding	Dec 11, 2023	DiversityScene Understanding	—Unverified	0
Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection	Dec 11, 2023	BenchmarkingDomain Adaptation	—Unverified	0

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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