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

Showing 12011225 of 1723 papers

TitleStatusHype
SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving0
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction0
Shallow2Deep: Indoor Scene Modeling by Single Image Understanding0
Shifted-Windows Transformers for the Detection of Cerebral Aneurysms in Microsurgery0
SIMS: Simulating Stylized Human-Scene Interactions with Retrieval-Augmented Script Generation0
Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation0
Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition0
Single Image 3D Without a Single 3D Image0
Single Image Depth Estimation: An Overview0
Single-Input Multi-Output Model Merging: Leveraging Foundation Models for Dense Multi-Task Learning0
Single-view 3D Scene Reconstruction with High-fidelity Shape and Texture0
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding0
SLGaussian: Fast Language Gaussian Splatting in Sparse Views0
Small Drone Field Experiment: Data Collection & Processing0
Small-Variance Nonparametric Clustering on the Hypersphere0
Smart Infrastructure: A Research Junction0
SNeL: A Structured Neuro-Symbolic Language for Entity-Based Multimodal Scene Understanding0
Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition0
Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications0
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images0
So you think you can track?0
SparseLGS: Sparse View Language Embedded Gaussian Splatting0
SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Models0
SpatialLM: Training Large Language Models for Structured Indoor Modeling0
Spatial Sampling Network for Fast Scene Understanding0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.44Unverified
2Team VGAI (TCS Research)OMQ0.37Unverified
3Demo_semantic_SLAMOMQ0.11Unverified
#ModelMetricClaimedVerifiedStatus
1CPN(ResNet-101)Mean IoU46.3Unverified
#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.35Unverified