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Paper

In-Bed Pose Estimation: Deep Learning With Shallow Dataset

by Independent / Community 0027ccaf4960be6b6c3864513eee34b7a9c7b699

Free2AITools Nexus Index

69.4

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 85

P: Popularity 61

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

This paper presents a robust human posture and body parts detection method under a specific application scenario known as in-bed pose estimation. Although the human pose estimation for various computer vision (CV) applications has been studied extensively in the last few decades, the in-bed pose estimation using camera-based vision methods has been ignored by the CV community because it is assumed to be identical to the general purpose pose estimation problems. However, the in-bed pose estima...

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Semantic Scholar 67 Citations

Paper Information Summary
Entity Passport
Registry ID	0027ccaf4960be6b6c3864513eee34b7a9c7b699
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{0027ccaf4960be6b6c3864513eee34b7a9c7b699,
  author = {Unknown},
  title = {In-Bed Pose Estimation: Deep Learning With Shallow Dataset Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0027ccaf4960be6b6c3864513eee34b7a9c7b699}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). In-Bed Pose Estimation: Deep Learning With Shallow Dataset [Paper]. Free2AITools. https://api.semanticscholar.org/0027ccaf4960be6b6c3864513eee34b7a9c7b699

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Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 85

Popularity (P) 61

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for In-Bed Pose Estimation: Deep Learning With Shallow Dataset: Authority (A:85), Popularity (P:61), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"This paper presents a robust human posture and body parts detection method under a specific application scenario known as in-bed pose estimation. Although the human pose estimation for various computer vision (CV) applications has been studied extensively in the last few decades, the in-bed pose estimation using camera-based vision methods has been ignored by the CV community because it is assumed to be identical to the general purpose pose estimation problems. However, the in-bed pose estima..."

❝ Cite Node

@article{Unknown2026In-Bed,
  title={In-Bed Pose Estimation: Deep Learning With Shallow Dataset},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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📊 Research Signals

📈67CitationsSemantic Scholar

🏛️85AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️vision multimediaField

🏷️ Research Topics

vision models

📦Data Source: semantic_scholar

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🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
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downloads: 0
stars: null
forks: null
citations: 67

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