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

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Showing 1101–1110 of 1723 papers

TitleStatusHype
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks—0
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences—0
A Memory System of a Robot Cognitive Architecture and its Implementation in ArmarX—0
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation—0
AAD-LLM: Neural Attention-Driven Auditory Scene Understanding—0
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art—0
Compositional Scene Understanding through Inverse Generative Modeling—0
4D Gaussian Splatting: Modeling Dynamic Scenes with Native 4D Primitives—0
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image—0
Compositional 3D Human-Object Neural Animation—0
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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