Evidence map›Paper›PMID 37687765›Full record

ArticleSensors (Basel, Switzerland)2023

SSA Net: Small Scale-Aware Enhancement Network for Human Pose Estimation.

Shaohua Li, Haixiang Zhang, Hanjie Ma, Jie Feng, Mingfeng Jiang

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 59% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Shaohua LiSchool of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.ORCID 0000-0002-4630-4152
Haixiang ZhangSchool of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Hanjie MaSchool of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Jie FengSchool of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Mingfeng JiangSchool of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Zhejiang Sci-Tech University · CN

Funding

National Natural Science Foundation of China 61672466 62011530130
6 · The paper itself

Abstract

In the field of human pose estimation, heatmap-based methods have emerged as the dominant approach, and numerous studies have achieved remarkable performance based on this technique. However, the inherent drawbacks of heatmaps lead to serious performance degradation in methods based on heatmaps for smaller-scale persons. While some researchers have attempted to tackle this issue by improving the performance of small-scale persons, their efforts have been hampered by the continued reliance on heatmap-based methods. To address this issue, this paper proposes the SSA Net, which aims to enhance the detection accuracy of small-scale persons as much as possible while maintaining a balanced perception of persons at other scales. SSA Net utilizes HRNetW48 as a feature extractor and leverages the TDAA module to enhance small-scale perception. Furthermore, it abandons heatmap-based methods and instead adopts coordinate vector regression to represent keypoints. Notably, SSA Net achieved an

Indexed as

AwarenessPostureHumanskeypoint detectionpose estimationscale-aware enhancement

Identifiers

PMID37687765
PMCPMC10489956
OpenAlexW4386051254

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.