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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1501–1525 of 1723 papers

TitleStatusHype
Multiview Based 3D Scene Understanding On Partial Point Sets—0
ShelfNet for Fast Semantic SegmentationCode0
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object LocalizationCode0
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained EnvironmentsCode0
A pooling based scene text proposal technique for scene text reading in the wild—0
Artificial Color Constancy via GoogLeNet with Angular Loss FunctionCode0
Sensor Adaptation for Improved Semantic Segmentation of Overhead Imagery—0
Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning—0
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose EstimationCode0
UAVid: A Semantic Segmentation Dataset for UAV ImageryCode0
Diagnostics in Semantic Segmentation—0
Semantic and structural image segmentation for prosthetic vision—0
Incorporating Luminance, Depth and Color Information by a Fusion-based Network for Semantic SegmentationCode0
A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM—0
Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions—0
Context-Dependent Diffusion Network for Visual Relationship Detection—0
On the Importance of Visual Context for Data Augmentation in Scene Understanding—0
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?Code0
Modeling human intuitions about liquid flow with particle-based simulation—0
BOLD5000: A public fMRI dataset of 5000 imagesCode0
Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene ImagesCode0
Multiple-gaze geometry: Inferring novel 3D locations from gazes observed in monocular video—0
Localization Guided Learning for Pedestrian Attribute Recognition—0
COFGA: Classification Of Fine-Grained Features In Aerial Images—0
Single Shot Scene Text RetrievalCode0
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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