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 1451–1475 of 1723 papers

TitleStatusHype
Robust Visual Localization via Semantic-Guided Multi-Scale Transformer—0
Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms—0
Ross3D: Reconstructive Visual Instruction Tuning with 3D-Awareness—0
RS-RAG: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model—0
S^3M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving—0
S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation—0
S4C: Self-Supervised Semantic Scene Completion with Neural Fields—0
Safety Assessment for Autonomous Systems' Perception Capabilities—0
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data—0
SAM2-LOVE: Segment Anything Model 2 in Language-aided Audio-Visual Scenes—0
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation—0
SAM-Guided Masked Token Prediction for 3D Scene Understanding—0
SAMPLE-HD: Simultaneous Action and Motion Planning Learning Environment—0
Scale-aware Neural Network for Semantic Segmentation of Multi-resolution Remote Sensing Images—0
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset—0
Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans—0
Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning—0
Scenarios: A New Representation for Complex Scene Understanding—0
Scene-aware Human Pose Generation using Transformer—0
Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation—0
SceneCompleter: Dense 3D Scene Completion for Generative Novel View Synthesis—0
Counterfactual Critic Multi-Agent Training for Scene Graph Generation—0
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language ModelsCode0
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from VideoCode0
PENet: A Joint Panoptic Edge Detection NetworkCode0
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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