I am interested in a simple CNN-based baseline for detecting the landmarks in an animal given I have groundtruth for the animal.
Here is a screenshot from a recent paper with this regard:

Screenshot%20from%202019-12-10%2002-50-471641×762 241 KB

What would be a good starter code? I am trying not to poke into something complex like openpose/Simple Baseline by Microsoft (ECCV 2018), or DeeperCut. I am looking for something quite simple that can predict the landmarks in a supervised manner. It is totally cool though, if it could do some sort of transfer learning from human pose literature (if that doesn’t make the learning worse).
For starter, I have an annotated dataset of 800 frames and four landmarks.
link 1. https://www.biorxiv.org/content/biorxiv/early/2018/07/28/377895.full.pdf 4
link 2. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8858533 1
Please let me know if you would be more interested in further information.
P.S.: I recently came across a paper that does domain adaptation for animal pose estimation from human pose estimation. I am not sure how much control I would have over implementing that though or how easy is it to generalize it to any animal. Cross-Domain Adaptation for Animal Pose Estimation

  
      
      arXiv.org
  
  
    

Cross-Domain Adaptation for Animal Pose Estimation 8

In this paper, we are interested in pose estimation of animals. Animals
usually exhibit a wide range of variations on poses and there is no available
animal pose dataset for training and testing. To address this problem, we build
an animal pose...