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 1576–1600 of 1723 papers

TitleStatusHype
Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions—0
J-MOD^2: Joint Monocular Obstacle Detection and Depth Estimation—0
Matterport3D: Learning from RGB-D Data in Indoor EnvironmentsCode0
Direction-Aware Semi-Dense SLAM—0
Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision—0
Reasoning with shapes: profiting cognitive susceptibilities to infer linear mapping transformations between shapes—0
Semantic Foggy Scene Understanding with Synthetic Data—0
3D Pose Regression using Convolutional Neural Networks—0
Deep Scene Text Detection with Connected Component Proposals—0
BlitzNet: A Real-Time Deep Network for Scene UnderstandingCode0
Fast Scene Understanding for Autonomous DrivingCode0
Semantic Augmented Reality Environment with Material-Aware Physical Interactions—0
Dual-Glance Model for Deciphering Social RelationshipsCode0
Scene Graph Generation from Objects, Phrases and Region CaptionsCode0
Relationship Proposal Networks—0
Weakly Supervised Affordance DetectionCode0
Neural Scene De-Rendering—0
Deep Video Deblurring for Hand-Held CamerasCode0
Segmentation Guided Attention Networks for Visual Question Answering—0
LinkNet: Exploiting Encoder Representations for Efficient Semantic SegmentationCode1
Efficient ConvNet for Real-time Semantic SegmentationCode0
Dilated Residual NetworksCode0
Towards seamless multi-view scene analysis from satellite to street-level—0
Classification of Aerial Photogrammetric 3D Point Clouds—0
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels—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