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 901–950 of 1723 papers

TitleStatusHype
SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field—0
Exosense: A Vision-Based Scene Understanding System For Exoskeletons—0
Geometric Constraints in Deep Learning Frameworks: A Survey—0
Instance-Warp: Saliency Guided Image Warping for Unsupervised Domain AdaptationCode0
M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving—0
HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting—0
Hierarchical Spatial Proximity Reasoning for Vision-and-Language NavigationCode0
Agent3D-Zero: An Agent for Zero-shot 3D Understanding—0
OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy RepresentationCode0
R3DS: Reality-linked 3D Scenes for Panoramic Scene Understanding—0
Urban Scene Diffusion through Semantic Occupancy Map—0
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance FieldsCode0
Segment Any Object Model (SAOM): Real-to-Simulation Fine-Tuning Strategy for Multi-Class Multi-Instance Segmentation—0
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields—0
Enhancing Human-Centered Dynamic Scene Understanding via Multiple LLMs Collaborated Reasoning—0
Mapping High-level Semantic Regions in Indoor Environments without Object Recognition—0
Out of the Room: Generalizing Event-Based Dynamic Motion Segmentation for Complex Scenes—0
GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding—0
HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes—0
PCDepth: Pattern-based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds—0
One model to use them all: Training a segmentation model with complementary datasetsCode0
LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment—0
AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene UnderstandingCode0
OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding—0
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models—0
Moving Object Proposals with Deep Learned Optical Flow for Video Object Segmentation—0
InCoRo: In-Context Learning for Robotics Control with Feedback Loops—0
Neural Language of Thought Models—0
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation dataCode0
Non-central panorama indoor datasetCode0
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems—0
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents—0
S^3M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving—0
ICGNet: A Unified Approach for Instance-Centric GraspingCode0
BPDO:Boundary Points Dynamic Optimization for Arbitrary Shape Scene Text Detection—0
SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding—0
Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization—0
Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation—0
Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection—0
VLP: Vision Language Planning for Autonomous Driving—0
FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the WildCode0
FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding—0
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models—0
Unsupervised 3D Structure Inference from Category-Specific Image Collections—0
When Visual Grounding Meets Gigapixel-level Large-scale Scenes: Benchmark and Approach—0
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes—0
PanoRecon: Real-Time Panoptic 3D Reconstruction from Monocular VideoCode0
Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness—0
Towards CLIP-driven Language-free 3D Visual Grounding via 2D-3D Relational Enhancement and ConsistencyCode0
Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding—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