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 7180 of 1723 papers

TitleStatusHype
MTVQA: Benchmarking Multilingual Text-Centric Visual Question AnsweringCode2
Grounded 3D-LLM with Referent TokensCode2
OpenESS: Event-based Semantic Scene Understanding with Open VocabulariesCode2
SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth EstimationCode2
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance FieldsCode2
Is Your LiDAR Placement Optimized for 3D Scene Understanding?Code2
Calib3D: Calibrating Model Preferences for Reliable 3D Scene UnderstandingCode2
Volumetric Environment Representation for Vision-Language NavigationCode2
FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anythingCode2
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm PerspectivesCode2
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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