PAPERS.md

Papers

Toward fast and accurate human pose estimation via soft-gated skip connections

https://arxiv.org/pdf/2002.11098.pdf

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

https://arxiv.org/pdf/1703.00862.pdf

Quantized Densely Connected U-Nets for Efficient Landmark Localization

https://arxiv.org/pdf/1808.02194.pdf

Stacked Hourglass Networks for Human Pose Estimation

https://arxiv.org/pdf/1603.06937.pdf

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://arxiv.org/pdf/1505.04597.pdf

Deep Residual Learning for Image Recognition

https://arxiv.org/pdf/1512.03385v1.pdf

Useful Links

https://paperswithcode.com/ https://medium.com/roonyx/pose-estimation-and-matching-with-tensorflow-lite-posenet-model-ea2e9249abbd https://towardsdatascience.com/review-mobilenetv1-depthwise-separable-convolution-light-weight-model-a382df364b69 https://blog.tensorflow.org/2021/08/pose-estimation-and-classification-on-edge-devices-with-MoveNet-and-TensorFlow-Lite.html https://blog.tensorflow.org/2021/05/next-generation-pose-detection-with-movenet-and-tensorflowjs.html

Coco API https://towardsdatascience.com/how-to-work-with-object-detection-datasets-in-coco-format-9bf4fb5848a4 https://voxel51.com/docs/fiftyone/