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 1501–1525 of 1723 papers

TitleStatusHype
On the iterative refinement of densely connected representation levels for semantic segmentationCode0
One model to use them all: Training a segmentation model with complementary datasetsCode0
Image interpretation by iterative bottom-up top-down processingCode0
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency DetectionCode0
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point CloudsCode0
Adapting Deep Network Features to Capture Psychological RepresentationsCode0
Single Image 3D Object Estimation with Primitive Graph NetworksCode0
Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth AmbiguityCode0
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance FieldsCode0
Unsupervised Single-shot Depth Estimation using Perceptual ReconstructionCode0
Towards CLIP-driven Language-free 3D Visual Grounding via 2D-3D Relational Enhancement and ConsistencyCode0
Quantitative Depth Quality Assessment of RGBD Cameras At Close Range Using 3D Printed FixturesCode0
Single Network Panoptic Segmentation for Street Scene UnderstandingCode0
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient EvaluationCode0
Object-aware Sound Source Localization via Audio-Visual Scene UnderstandingCode0
Single Shot Scene Text RetrievalCode0
Beyond Human Perception: Understanding Multi-Object World from Monocular ViewCode0
The Ikshana Hypothesis of Human Scene UnderstandingCode0
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly DetectionCode0
DenseASPP for Semantic Segmentation in Street ScenesCode0
Weakly Supervised Segmentation on Outdoor 4D Point Clouds With Temporal Matching and Spatial Graph PropagationCode0
Towards Improving the Generation Quality of Autoregressive Slot VAEsCode0
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR SequencesCode0
Deep Video Deblurring for Hand-Held CamerasCode0
RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image EnhancementCode0
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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