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 1226–1250 of 1723 papers

TitleStatusHype
Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor SetupsCode1
Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship DetectionCode1
BUTLER: Building Understanding in TextWorld via Language for Embodied Reasoning—0
Non-maximum Suppression Also Closes the Variational Approximation Gap of Multi-object Variational Autoencoders—0
Pseudo Label-Guided Multi Task Learning for Scene Understanding—0
Scene Text Detection for Augmented Reality -- Character Bigram Approach to reduce False Positive Rate—0
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding—0
Classification of Single-View Object Point Clouds—0
Embodied Visual Active Learning for Semantic Segmentation—0
Event-based Motion Segmentation with Spatio-Temporal Graph CutsCode1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene ContextsCode1
Practical Auto-Calibration for Spatial Scene-Understanding from Crowdsourced Dashcamera Videos—0
Image-Graph-Image Translation via Auto-Encoding—0
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation—0
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation—0
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor EnvironmentsCode1
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene UnderstandingCode1
Understanding Bird's-Eye View of Road Semantics using an Onboard CameraCode1
Towards Part-Based Understanding of RGB-D ScansCode1
Group Contextual Encoding for 3D Point CloudsCode1
RfD-Net: Point Scene Understanding by Semantic Instance ReconstructionCode1
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding—0
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency—0
Visual place recognition: A survey from deep learning perspectiveCode1
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation—0
Show:102550
← PrevPage 50 of 69Next →
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