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 14411450 of 1723 papers

TitleStatusHype
A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling0
Reasoning About Physical Interactions with Object-Centric Models0
An Information-Theoretic Metric of Transferability for Task Transfer LearningCode0
Segmenting the FutureCode0
DirectShape: Direct Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation0
Deep Optics for Monocular Depth Estimation and 3D Object Detection0
DSNet: An Efficient CNN for Road Scene Segmentation0
Deep Surface Normal Estimation with Hierarchical RGB-D FusionCode0
Structured agents for physical construction0
GFF: Gated Fully Fusion for Semantic SegmentationCode1
Show:102550
← PrevPage 145 of 173Next →

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