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 361370 of 1723 papers

TitleStatusHype
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier ConvolutionsCode1
F-ViTA: Foundation Model Guided Visible to Thermal TranslationCode1
NODIS: Neural Ordinary Differential Scene UnderstandingCode1
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen RepresentationsCode1
DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny ObjectsCode1
OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic SegmentationCode1
Few-Shot Object Detection and Viewpoint Estimation for Objects in the WildCode1
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene UnderstandingCode1
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionCode1
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIPCode1
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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