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 1151–1200 of 1723 papers

TitleStatusHype
Neural Groundplans: Persistent Neural Scene Representations from a Single Image—0
SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval dataset for satellite Imagery over Germany—0
Adversarial Attacks on Monocular Pose EstimationCode0
BlindSpotNet: Seeing Where We Cannot See—0
Distance Matters in Human-Object Interaction DetectionCode0
Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases—0
Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation—0
Placental Vessel Segmentation and Registration in Fetoscopy: Literature Review and MICCAI FetReg2021 Challenge FindingsCode0
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene UnderstandingCode0
A Dynamic Data Driven Approach for Explainable Scene Understanding—0
On Efficient Real-Time Semantic Segmentation: A Survey—0
Waymo Open Dataset: Panoramic Video Panoptic Segmentation—0
A Multi-purpose Realistic Haze Benchmark with Quantifiable Haze Levels and Ground Truth—0
Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label DiffusionCode0
Extracting Zero-shot Common Sense from Large Language Models for Robot 3D Scene Understanding—0
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields—0
Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans—0
A Memory System of a Robot Cognitive Architecture and its Implementation in ArmarX—0
Towards Improving the Generation Quality of Autoregressive Slot VAEsCode0
SAMPLE-HD: Simultaneous Action and Motion Planning Learning Environment—0
Facing the Void: Overcoming Missing Data in Multi-View ImageryCode0
Review on Panoramic Imaging and Its Applications in Scene Understanding—0
Unsupervised Discovery and Composition of Object Light Fields—0
Neural Rendering in a Room: Amodal 3D Understanding and Free-Viewpoint Rendering for the Closed Scene Composed of Pre-Captured Objects—0
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds—0
BBBD: Bounding Box Based Detector for Occlusion Detection and Order Recovery—0
SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo and Text—0
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection—0
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?—0
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints—0
Attention Mechanism based Cognition-level Scene Understanding—0
MTANet: Multitask-Aware Network With Hierarchical Multimodal Fusion for RGB-T Urban Scene Understanding—0
Multi-Task Learning for Visual Scene Understanding—0
Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification—0
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering—0
Self-Supervised Road Layout Parsing with Graph Auto-EncodingCode0
Towards 3D Scene Understanding by Referring Synthetic Models—0
Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows—0
Neural Part Priors: Learning to Optimize Part-Based Object Completion in RGB-D Scans—0
Deep Point Cloud Simplification for High-quality Surface Reconstruction—0
RAUM-VO: Rotational Adjusted Unsupervised Monocular Visual Odometry—0
On Steering Multi-Annotations per Sample for Multi-Task Learning—0
Fast Neural Architecture Search for Lightweight Dense Prediction Networks—0
Hybrid Optimized Deep Convolution Neural Network based Learning Model for Object Detection—0
Movies2Scenes: Using Movie Metadata to Learn Scene Representation—0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
From Node to Graph: Joint Reasoning on Visual-Semantic Relational Graph for Zero-Shot DetectionCode0
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations (CGL)—0
StandardSim: A Synthetic Dataset For Retail Environments—0
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient EvaluationCode0
Show:102550
← PrevPage 24 of 35Next →
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