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 1551–1560 of 1723 papers

TitleStatusHype
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering—0
Towards General Purpose Geometry-Preserving Single-View Depth Estimation—0
An Analysis of State-of-the-Art Models for Situated Interactive MultiModal Conversations (SIMMC)—0
Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs—0
When Neural Networks Using Different Sensors Create Similar Features—0
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models—0
Towards holistic scene understanding: Semantic segmentation and beyond—0
Analogical Image Translation for Fog Generation—0
A Multi-purpose Realistic Haze Benchmark with Quantifiable Haze Levels and Ground Truth—0
A Multiple-View Geometric Model for Specularity Prediction on General Curved Surfaces—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