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 13311340 of 1723 papers

TitleStatusHype
Semantic Segmentation of Underwater Imagery: Dataset and BenchmarkCode1
Learning Human-Object Interaction Detection using Interaction PointsCode1
Distilled Semantics for Comprehensive Scene Understanding from VideosCode1
LayoutMP3D: Layout Annotation of Matterport3DCode1
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point CloudsCode1
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings0
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D NetworksCode1
One-Shot GAN Generated Fake Face Detection0
High-Accuracy Facial Depth Models derived from 3D Synthetic Data0
SaccadeNet: A Fast and Accurate Object DetectorCode1
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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