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 101125 of 1723 papers

TitleStatusHype
Temporal Propagation of Asymmetric Feature Pyramid for Surgical Scene Segmentation0
HAECcity: Open-Vocabulary Scene Understanding of City-Scale Point Clouds with Superpoint Graph Clustering0
Training-Free Hierarchical Scene Understanding for Gaussian Splatting with Superpoint GraphsCode1
Explainable Scene Understanding with Qualitative Representations and Graph Neural Networks0
DC-SAM: In-Context Segment Anything in Images and Videos via Dual ConsistencyCode1
CAGS: Open-Vocabulary 3D Scene Understanding with Context-Aware Gaussian Splatting0
Single-Input Multi-Output Model Merging: Leveraging Foundation Models for Dense Multi-Task Learning0
Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization0
SoccerNet-v3D: Leveraging Sports Broadcast Replays for 3D Scene UnderstandingCode1
FMLGS: Fast Multilevel Language Embedded Gaussians for Part-level Interactive Agents0
FindAnything: Open-Vocabulary and Object-Centric Mapping for Robot Exploration in Any Environment0
DSM: Building A Diverse Semantic Map for 3D Visual Grounding0
DGOcc: Depth-aware Global Query-based Network for Monocular 3D Occupancy Prediction0
Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene UnderstandingCode1
MovSAM: A Single-image Moving Object Segmentation Framework Based on Deep ThinkingCode0
RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration0
Audio-visual Event Localization on Portrait Mode Short Videos0
Attributes-aware Visual Emotion Representation Learning0
PRIMEDrive-CoT: A Precognitive Chain-of-Thought Framework for Uncertainty-Aware Object Interaction in Driving Scene Scenario0
CamContextI2V: Context-aware Controllable Video GenerationCode1
RS-RAG: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model0
DFormerv2: Geometry Self-Attention for RGBD Semantic SegmentationCode3
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language ModelsCode0
Multimodal Fusion and Vision-Language Models: A Survey for Robot VisionCode1
F-ViTA: Foundation Model Guided Visible to Thermal TranslationCode1
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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