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 1251–1300 of 1723 papers

TitleStatusHype
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image—0
Panoramic Depth Estimation via Supervised and Unsupervised Learning in Indoor ScenesCode0
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization—0
Indoor Semantic Scene Understanding using Multi-modality Fusion—0
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial AttacksCode0
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos—0
Interpretable Visual Understanding with Cognitive Attention NetworkCode0
CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation—0
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds—0
Weighted Intersection over Union (wIoU) for Evaluating Image SegmentationCode0
Generative Video Transformer: Can Objects be the Words?—0
CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations—0
Accelerating deep neural networks for efficient scene understanding in automotive cyber-physical systems—0
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference—0
A Weakly-Supervised Depth Estimation Network Using Attention Mechanism—0
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance VotingCode0
Empowering cyberphysical systems of systems with intelligence—0
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface—0
Cognitive Visual Commonsense Reasoning Using Dynamic Working MemoryCode0
Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring—0
Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial Regularization—0
An Analysis of State-of-the-Art Models for Situated Interactive MultiModal Conversations (SIMMC)—0
IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement—0
False Negative Reduction in Video Instance Segmentation using Uncertainty EstimatesCode0
SDOF-Tracker: Fast and Accurate Multiple Human Tracking by Skipped-Detection and Optical-FlowCode0
OffRoadTranSeg: Semi-Supervised Segmentation using Transformers on OffRoad environments—0
iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretability—0
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets—0
Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion—0
Towards urban scenes understanding through polarization cues—0
Polarimetric Spatio-Temporal Light Transport Probing—0
Egocentric Activity Recognition and Localization on a 3D Map—0
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data—0
Image interpretation by iterative bottom-up top-down processingCode0
Scene Understanding for Autonomous Driving—0
ACDC: The Adverse Conditions Dataset with Correspondences for Robust Semantic Driving Scene Perception—0
Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory NetworksCode0
Wireless Sensing With Deep Spectrogram Network and Primitive Based Autoregressive Hybrid Channel Model—0
MonoGRNet: A General Framework for Monocular 3D Object Detection—0
Single Image Depth Estimation: An Overview—0
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation—0
Evaluation of Multimodal Semantic Segmentation using RGB-D Data—0
PlaneSegNet: Fast and Robust Plane Estimation Using a Single-stage Instance Segmentation CNN—0
Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation—0
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving—0
Knowledge-Guided Object Discovery with Acquired Deep ImpressionsCode0
A Comprehensive Survey of Scene Graphs: Generation and Application—0
Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions—0
Scale-aware Neural Network for Semantic Segmentation of Multi-resolution Remote Sensing Images—0
Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning—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