mkocabas/focal-loss-keras

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Created about 7 years ago
Updated over 3 years ago

mkocabas/focal-loss-keras

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Focal Loss implementation in Keras

Focal Loss

This is the keras implementation of focal loss proposed by Lin et. al. in their Focal Loss for Dense Object Detection paper.

Usage

You have to compile your model with focal loss. Sample:

model_prn.compile(optimizer=optimizer, loss=[focal_loss(alpha=.25, gamma=2)])

VIBE

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

EpipolarPose

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

Jupyter Notebook

CoordConv-pytorch

Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' paper. (https://arxiv.org/pdf/1807.03247.pdf)

PARE

Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation

pose-residual-network

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

body-model-visualizer

GUI for visualization and interactive editing of SMPL-family body models ie. SMPL, SMPL-X, MANO, FLAME.

SPEC

Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera

multi-person-tracker

Simple Multi Person Tracker implementation in PyTorch

yolov3-pytorch

YOLOV3 pytorch implementation as a python package

TrilateralMap

A novel 3D mesh shape descriptor