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 11611170 of 1723 papers

TitleStatusHype
EPMF: Efficient Perception-aware Multi-sensor Fusion for 3D Semantic SegmentationCode1
Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View TransformationCode1
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets0
Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion0
Part-aware Panoptic SegmentationCode1
Vision Transformers with Hierarchical AttentionCode1
Light Field Networks: Neural Scene Representations with Single-Evaluation RenderingCode1
Towards urban scenes understanding through polarization cues0
Polarimetric Spatio-Temporal Light Transport Probing0
Egocentric Activity Recognition and Localization on a 3D Map0
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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