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 976–1000 of 1723 papers

TitleStatusHype
Unsupervised Foveal Vision Neural Networks with Top-Down Attention—0
NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene Understanding—0
Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods—0
Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial Regularization—0
Non-maximum Suppression Also Closes the Variational Approximation Gap of Multi-object Variational Autoencoders—0
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation—0
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network—0
Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation—0
Not Using the Car to See the Sidewalk -- Quantifying and Controlling the Effects of Context in Classification and Segmentation—0
Novel 3D Scene Understanding Applications From Recurrence in a Single Image—0
Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views—0
NuGrounding: A Multi-View 3D Visual Grounding Framework in Autonomous Driving—0
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation—0
Depth Estimation using Weighted-loss and Transfer Learning—0
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation—0
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels—0
Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings—0
Object as Distribution—0
Why my photos look sideways or upside down? Detecting Canonical Orientation of Images using Convolutional Neural Networks—0
Object-Aware DINO (Oh-A-Dino): Enhancing Self-Supervised Representations for Multi-Object Instance Retrieval—0
Object Aware Egocentric Online Action Detection—0
AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model—0
Object-Centric Scene Representations using Active Inference—0
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization—0
Object-level 3D Semantic Mapping using a Network of Smart Edge Sensors—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