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[ECCV'2022 Oral] PyTorch implementation for: SimCC: a Simple Coordinate Classification Perspective for Human Pose Estimation (http://arxiv.org/abs/2107.03332). Old name: SimDR

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epoch[3] It descends ![4ef2acf61c0c7ff398c9a848de5a6cb](https://github.com/leeyegy/SimCC/assets/48819558/e2febafd-4d46-4667-9c3e-dd012c75080e) epoch[87] it fluctuating. ![f89e6312b291105b9f85c33de9f129e](https://github.com/leeyegy/SimCC/assets/48819558/eb69f18d-7134-462e-a177-f5eb1a159953) but valid_loss looks all right. ![4cc3a010bc476304b775bdf55d1f541](https://github.com/leeyegy/SimCC/assets/48819558/d68b5a6e-2644-4564-a772-1dfe8339537f) ---------- I did not modify the config file.Is this normal?

how to replace the backbone, i want to replace the hrnet to a small backbone

Hi, It's an amazing work! I reproduce the code of SimDR-Tokenpose version based on mmpose, but didn't get a satisfying performance (Actually a very low performance, somewhere goes wrong definitely...)....

I try to evaluate on test-dev , the output is a empty json

https://github.com/leeyegy/SimCC/blob/aa6e089af29718e889680b6226eb7cac107aa21a/README.md?plain=1#L29 `SimDR* (space-aware SimDR)`: SimDR with Laplace or Gaussian label smoothing for spatial relevance of adjacent labels.

loss += self.criterion(coord_x_pred,coord_gt[:,0]).mul(weight).mean() IndexError: too many indices for tensor of dimension 1

For the `Results on higher input resolution Results on the COCO validation set with the input size of 384×288.` Can you share the configure file (as my understand, resnet/simdr/upsample_free for...