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 476500 of 1723 papers

TitleStatusHype
Semantic Segmentation-Assisted Instance Feature Fusion for Multi-Level 3D Part Instance SegmentationCode1
Panoptic Video Scene Graph GenerationCode1
Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive LearningCode1
Towards Efficient Scene Understanding via Squeeze ReasoningCode1
Predicting Deeper into the Future of Semantic SegmentationCode0
Category-level Neural Field for Reconstruction of Partially Observed Objects in Indoor EnvironmentCode0
Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video UnderstandingCode0
Pose-aware Multi-level Feature Network for Human Object Interaction DetectionCode0
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language ModelsCode0
Evaluating Compositional Scene Understanding in Multimodal Generative ModelsCode0
A Review on Deep Learning Techniques Applied to Semantic SegmentationCode0
ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic SegmentationCode0
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from VideoCode0
PENet: A Joint Panoptic Edge Detection NetworkCode0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
Part-Whole Relational Fusion Towards Multi-Modal Scene UnderstandingCode0
Parsing Geometry Using Structure-Aware Shape TemplatesCode0
Parsing Natural Scenes and Natural Language with Recursive Neural NetworksCode0
Panoramic Depth Estimation via Supervised and Unsupervised Learning in Indoor ScenesCode0
PanoRecon: Real-Time Panoptic 3D Reconstruction from Monocular VideoCode0
OVeNet: Offset Vector Network for Semantic SegmentationCode0
OVGaussian: Generalizable 3D Gaussian Segmentation with Open VocabulariesCode0
OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene UnderstandingCode0
P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic SegmentationCode0
Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous RacingCode0
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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