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 176–200 of 1723 papers

TitleStatusHype
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous DrivingCode1
Hearing and Seeing Through CLIP: A Framework for Self-Supervised Sound Source LocalizationCode1
Behind the Curtain: Learning Occluded Shapes for 3D Object DetectionCode1
Deep Learning for Event-based Vision: A Comprehensive Survey and BenchmarksCode1
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph GenerationCode1
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion FramesCode1
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene UnderstandingCode1
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic SegmentationCode1
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionCode1
Beyond Appearances: Material Segmentation with Embedded Spectral Information from RGB-D imageryCode1
HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D ScansCode1
GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D UnderstandingCode1
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
DC-SAM: In-Context Segment Anything in Images and Videos via Dual ConsistencyCode1
3DP3: 3D Scene Perception via Probabilistic ProgrammingCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene UnderstandingCode1
AVSegFormer: Audio-Visual Segmentation with TransformerCode1
Detecting Human-Object Interaction via Fabricated Compositional LearningCode1
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and BeyondCode1
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesCode1
DAF-Net: A Dual-Branch Feature Decomposition Fusion Network with Domain Adaptive for Infrared and Visible Image FusionCode1
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
Grounded Situation Recognition with TransformersCode1
Global Aggregation then Local Distribution in Fully Convolutional NetworksCode1
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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