Project AURIONAI Use-Cases Research & Innovation
Tsinghua University
vision

SimCC

Pose estimation as coordinate classification along x and y.

Tsinghua UniversityTsinghua UniversityChina
Figure from the SimCC paper: Comparisons between the proposed SimCC and 2D/1D heatmap-based pipelines.
Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Released7 Jul 2021
Opennessunknown
Runs onnot in the notes
Statusactive

R&D Topics

Human pose estimationproduced by

Identity

Developer
Tsinghua University
Family
not in the notes
Released
7 Jul 2021 sourcesannouncement page
Weights published
–
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
CNN
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
image
Output
labels and boxes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
unknown
Licence
not in the notes sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/2107.03332 https://arxiv.org/abs/2107.03332
  2. github.com/open-mmlab/mmpose/tree/main/configs https://github.com/open-mmlab/mmpose/tree/main/configs
  3. arxiv.org/html/2107.03332 https://arxiv.org/html/2107.03332

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "SimCC", https://aurion.semai.id/models/simcc/, records of October 2026.