choyingw/SynergyNet
quality grade D, 45 out of 1003DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,663 results
3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
Waldo Vision | Cheat detection
Image quality is an open source software library for Image Quality Assessment (IQA).
A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network
This is an open sourced book on deep learning.
PyTorch implementation of the YOLO (You Only Look Once) v2
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)
The full collection of all codes for my Youtube Channel segregated as per topic.
High-quality Neural Networks for Computer Vision 😎
[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
SoundNet: Learning Sound Representations from Unlabeled Video. NIPS 2016
Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".
Data Preparation for Satellite Machine Learning
Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
My notes / works on deep learning from Coursera
CVPR 2022 HFGI: High-Fidelity GAN Inversion for Image Attribute Editing
课件:数字图像处理,深度学习,计算机视觉,机器学习
Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression
[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
Shortest solutions for CS231n 2021-2026
:grey_question: Visual Question Answering in Torch
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