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

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Showing 1681–1690 of 1723 papers

TitleStatusHype
Learning Monocular Depth by Distilling Cross-domain Stereo NetworksCode0
Boundary-Seeking Generative Adversarial NetworksCode0
Dual-Glance Model for Deciphering Social RelationshipsCode0
Self-Supervised Road Layout Parsing with Graph Auto-EncodingCode0
Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry PriorsCode0
Self-supervised Vision Transformers for 3D Pose Estimation of Novel ObjectsCode0
Zoom in on the Plant: Fine-grained Analysis of Leaf, Stem and Vein InstancesCode0
Language-based Colorization of Scene SketchesCode0
Label-Attention Transformer with Geometrically Coherent Objects for Image CaptioningCode0
Adversarial Attacks on Monocular Pose EstimationCode0
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All datasetsSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)ADE20K valSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.44—Unverified
2Team VGAI (TCS Research)OMQ0.37—Unverified
3Demo_semantic_SLAMOMQ0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1CPN(ResNet-101)Mean IoU46.3—Unverified
#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.35—Unverified