SOTAVerified

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

Showing 111120 of 1723 papers

TitleStatusHype
GroupViT: Semantic Segmentation Emerges from Text SupervisionCode2
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene UnderstandingCode2
Tackling View-Dependent Semantics in 3D Language Gaussian SplattingCode2
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-ExpertsCode2
DINO-Foresight: Looking into the Future with DINOCode2
Graph-based Topology Reasoning for Driving ScenesCode2
EndoChat: Grounded Multimodal Large Language Model for Endoscopic SurgeryCode1
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense KnowledgeCode1
3DMIT: 3D Multi-modal Instruction Tuning for Scene UnderstandingCode1
Advances in Deep Concealed Scene UnderstandingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.44Unverified
2Team VGAI (TCS Research)OMQ0.37Unverified
3Demo_semantic_SLAMOMQ0.11Unverified
#ModelMetricClaimedVerifiedStatus
1CPN(ResNet-101)Mean IoU46.3Unverified
#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.35Unverified