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 526–550 of 1723 papers

TitleStatusHype
DRRNet: Macro-Micro Feature Fusion and Dual Reverse Refinement for Camouflaged Object DetectionCode0
Boundary-Seeking Generative Adversarial NetworksCode0
OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy RepresentationCode0
Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse WeatherCode0
On the iterative refinement of densely connected representation levels for semantic segmentationCode0
AdaptVision: Dynamic Input Scaling in MLLMs for Versatile Scene UnderstandingCode0
On the Structures of Representation for the Robustness of Semantic Segmentation to Input CorruptionCode0
DOCTR: Disentangled Object-Centric Transformer for Point Scene UnderstandingCode0
D-Net: A Generalised and Optimised Deep Network for Monocular Depth EstimationCode0
Adaptive Visual Scene Understanding: Incremental Scene Graph GenerationCode0
BOLD5000: A public fMRI dataset of 5000 imagesCode0
Distance Matters in Human-Object Interaction DetectionCode0
An Information-Theoretic Metric of Transferability for Task Transfer LearningCode0
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance FieldsCode0
BlitzNet: A Real-Time Deep Network for Scene UnderstandingCode0
Non-central panorama indoor datasetCode0
Dirty Pixels: Towards End-to-End Image Processing and PerceptionCode0
Object Attribute Matters in Visual Question AnsweringCode0
Neural RGB->D Sensing: Depth and Uncertainty from a Video CameraCode0
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation DataCode0
Neural Radiance Field CodebooksCode0
Object-aware Sound Source Localization via Audio-Visual Scene UnderstandingCode0
Dilated Residual NetworksCode0
A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection InferenceCode0
Adapting Deep Network Features to Capture Psychological RepresentationsCode0
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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