annopackage's repositories
awesome-data-augmentation
This is a list of awesome methods about data augmentation.
awesome-knowledge-distillation
Awesome Knowledge Distillation
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
awesome-neural-rendering
A collection of resources on neural rendering.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
BlendedMVS
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
deep-motion-editing
An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
deepFashion3D
3D Real Garment Dataset
DLDL-v2
Age Estimation Using Expectation of Label Distribution Learning
Down-to-the-Last-Detail-Virtual-Try-on-with-Detail-Carving
Virtural try-on under arbitrary poses
EfficientResearchWork
Efficient research work environment setup for computer science and general workflow for Deep Learning experiments
FDA
Fourier Domain Adaptation for Semantic Segmentation
first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
GTA-IM-Dataset
[ECCV-20] 3D human scene interaction dataset: https://people.eecs.berkeley.edu/~zhecao/hmp/index.html
HigherHRNet-Human-Pose-Estimation
This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)
House3D
a Realistic and Rich 3D Environment
human_video_novel_view_synthesis
Official repository of "Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video" (ECCV 2020 Spotlight)
imgaug
Image augmentation for machine learning experiments.
knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
learnable-triangulation-pytorch
This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!
loss-correction
Robust loss functions for deep neural networks (CVPR 2017)
mmdetection
Open MMLab Detection Toolbox and Benchmark
openpifpaf
Official implementation of "PifPaf: Composite Fields for Human Pose Estimation" in PyTorch.
Pedestron
[Pedestron] Pedestrian Detection: The Elephant In The Room. On ArXiv 2020
pytorch-loss
label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful
Rotate-and-Render
Code for Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images (CVPR 2020)
Seg-Uncertainty
IJCAI2020 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo
SuperPointPretrainedNetwork
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
transmomo.pytorch
This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".
video2bvh
Extracts human motion in video and save it as bvh mocap file.