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 801–850 of 1723 papers

TitleStatusHype
3D-VirtFusion: Synthetic 3D Data Augmentation through Generative Diffusion Models and Controllable Editing—0
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the WildCode0
Exploring Scene Affinity for Semi-Supervised LiDAR Semantic SegmentationCode0
Near, far: Patch-ordering enhances vision foundation models' scene understanding—0
3D-Aware Instance Segmentation and Tracking in Egocentric Videos—0
SceneGPT: A Language Model for 3D Scene Understanding—0
SpectralGaussians: Semantic, spectral 3D Gaussian splatting for multi-spectral scene representation, visualization and analysis—0
HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors—0
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos—0
Complete 3d relationships extraction modality alignment network for 3d dense captioning—0
DEF-oriCORN: efficient 3D scene understanding for robust language-directed manipulation without demonstrations—0
A Plug-and-Play Method for Rare Human-Object Interactions Detection by Bridging Domain GapCode0
NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene Understanding—0
From Feature Importance to Natural Language Explanations Using LLMs with RAGCode0
Rethinking RGB-D Fusion for Semantic Segmentation in Surgical Datasets—0
ASI-Seg: Audio-Driven Surgical Instrument Segmentation with Surgeon Intention UnderstandingCode0
GP-VLS: A general-purpose vision language model for surgery—0
Answerability Fields: Answerable Location Estimation via Diffusion Models—0
3D Question Answering for City Scene Understanding—0
Augmented Efficiency: Reducing Memory Footprint and Accelerating Inference for 3D Semantic Segmentation through Hybrid Vision—0
InLUT3D: Challenging real indoor dataset for point cloud analysis—0
VideoGameBunny: Towards vision assistants for video games—0
A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection InferenceCode0
OpenSU3D: Open World 3D Scene Understanding using Foundation Models—0
MC-PanDA: Mask Confidence for Panoptic Domain AdaptationCode0
GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation—0
Open Vocabulary 3D Scene Understanding via Geometry Guided Self-Distillation—0
Training-Free Model Merging for Multi-target Domain Adaptation—0
InfoNorm: Mutual Information Shaping of Normals for Sparse-View ReconstructionCode0
Benchmarking Vision Language Models for Cultural Understanding—0
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape DataCode0
Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding—0
BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight—0
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences—0
Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object SearchCode0
LVLM-empowered Multi-modal Representation Learning for Visual Place Recognition—0
Joint prototype and coefficient prediction for 3D instance segmentation—0
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness—0
Hybrid Primal Sketch: Combining Analogy, Qualitative Representations, and Computer Vision for Scene Understanding—0
PanopticRecon: Leverage Open-vocabulary Instance Segmentation for Zero-shot Panoptic Reconstruction—0
ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding—0
EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting—0
PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation—0
3D-MVP: 3D Multiview Pretraining for Robotic Manipulation—0
GPT-4V Explorations: Mining Autonomous Driving—0
EvSegSNN: Neuromorphic Semantic Segmentation for Event Data—0
Enhancing Generalizability of Representation Learning for Data-Efficient 3D Scene Understanding—0
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features—0
MapVision: CVPR 2024 Autonomous Grand Challenge Mapless Driving Tech Report—0
Category-level Neural Field for Reconstruction of Partially Observed Objects in Indoor EnvironmentCode0
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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