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 1101–1150 of 1723 papers

TitleStatusHype
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Joint Optical Flow and Temporally Consistent Semantic Segmentation—0
Joint prototype and coefficient prediction for 3D instance segmentation—0
Joint Semantic and Motion Segmentation for dynamic scenes using Deep Convolutional Networks—0
Joint SFM and Detection Cues for Monocular 3D Localization in Road Scenes—0
JUMPS: Joints Upsampling Method for Pose Sequences—0
Kestrel: Point Grounding Multimodal LLM for Part-Aware 3D Vision-Language Understanding—0
Knowledge Distillation for Incremental Learning in Semantic Segmentation—0
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation—0
Label-Efficient LiDAR Panoptic Segmentation—0
LangSurf: Language-Embedded Surface Gaussians for 3D Scene Understanding—0
Language-Assisted 3D Scene Understanding—0
Language-EXtended Indoor SLAM (LEXIS): A Versatile System for Real-time Visual Scene Understanding—0
LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving—0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges—0
Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm—0
Large Margin Learning of Upstream Scene Understanding Models—0
LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning—0
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment—0
Leaky Wave Antenna-Equipped RF Chipless Tags for Orientation Estimation—0
Learning 3D Robotics Perception using Inductive Priors—0
Learning 3D Scene Priors with 2D Supervision—0
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions—0
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation—0
Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey—0
Learning-based Relational Object Matching Across Views—0
Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation—0
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes—0
Learning Depth from Single Images with Deep Neural Network Embedding Focal Length—0
Learning Direct Optimization for Scene Understanding—0
Learning from Maps: Visual Common Sense for Autonomous Driving—0
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation—0
Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs—0
Learning in Audio-visual Context: A Review, Analysis, and New Perspective—0
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes—0
SceneGPT: A Language Model for 3D Scene Understanding—0
Scene Graph Generation: A Comprehensive Survey—0
A Comprehensive Survey of Scene Graphs: Generation and Application—0
Scene Image is Non-Mutually Exclusive - A Fuzzy Qualitative Scene Understanding—0
Scene-Independent Group Profiling in Crowd—0
SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-Training on Indoor Segmentation?—0
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations—0
Scene recognition based on DNN and game theory with its applications in human-robot interaction—0
SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting—0
Scene Summarization: Clustering Scene Videos into Spatially Diverse Frames—0
SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments—0
Scene Text Detection for Augmented Reality -- Character Bigram Approach to reduce False Positive Rate—0
SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo and Text—0
Scene Understanding Enabled Semantic Communication with Open Channel Coding—0
Scene Understanding for Autonomous Manipulation with Deep 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