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 1626–1650 of 1723 papers

TitleStatusHype
Incremental Learning for Robot Perception through HRI—0
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks—0
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground TruthCode0
Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition—0
Deep Video DeblurringCode0
Learning from Maps: Visual Common Sense for Autonomous Driving—0
A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation—0
Places: An Image Database for Deep Scene Understanding—0
Reconstructing Vechicles from a Single Image: Shape Priors for Road Scene Understanding—0
On the usability of deep networks for object-based image analysis—0
On Support Relations and Semantic Scene Graphs—0
Bottom-up Instance Segmentation using Deep Higher-Order CRFs—0
Radiation Search Operations using Scene Understanding with Autonomous UAV and UGV—0
Seeing with Humans: Gaze-Assisted Neural Image Captioning—0
IM2CAD—0
Adapting Deep Network Features to Capture Psychological RepresentationsCode0
Joint Optical Flow and Temporally Consistent Semantic Segmentation—0
Small-Variance Nonparametric Clustering on the Hypersphere—0
LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning—0
Fully Convolutional Networks for Dense Semantic Labelling of High-Resolution Aerial Imagery—0
A Task-Oriented Approach for Cost-Sensitive Recognition—0
Understanding Real World Indoor Scenes With Synthetic Data—0
Occlusion Boundary Detection via Deep Exploration of Context—0
Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition—0
Newtonian Scene Understanding: Unfolding the Dynamics of Objects in Static Images—0
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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