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 1476–1500 of 1723 papers

TitleStatusHype
Affordance Learning In Direct Perception for Autonomous Driving—0
Real time backbone for semantic segmentation—0
Instance- and Category-level 6D Object Pose Estimation—0
Building an Affordances Map with Interactive Perception—0
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction—0
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes—0
An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutionsCode0
Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship DetectionCode0
Gated2Depth: Real-time Dense Lidar from Gated ImagesCode0
Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications—0
Single Network Panoptic Segmentation for Street Scene UnderstandingCode0
Real-time 3D Traffic Cone Detection for Autonomous DrivingCode0
VrR-VG: Refocusing Visually-Relevant Relationships—0
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly DetectionCode0
Neural RGB->D Sensing: Depth and Uncertainty from a Video CameraCode0
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks—0
Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic ConditionsCode0
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning—0
Learning Direct Optimization for Scene Understanding—0
Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation—0
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles—0
Counterfactual Critic Multi-Agent Training for Scene Graph Generation—0
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping—0
Learning to Exploit Stability for 3D Scene Parsing—0
Submodular Field Grammars: Representation, Inference, and Application to Image Parsing—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