zhaoweicai

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

Detectron-Cascade-RCNN

Cascade R-CNN in Detectron

mscnn

Caffe implementation of our multi-scale object detection framework

hwgq

Caffe implementation of accurate low-precision neural networks

EdMIPS

PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

faster_rcnn

Faster R-CNN

caffe

Caffe: a fast open framework for deep learning.

deep-residual-networks

Deep Residual Learning for Image Recognition

exponential-moving-average-normalization

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

Deformable-DETR

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

OFA

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

omni-detr

PyTorch implementation of Omni-DETR for omni-supervised object detection: https://arxiv.org/abs/2203.16089

semi-vit

PyTorch implementation of Semi-supervised Vision Transformers

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

XNOR-Net-PyTorch

PyTorch Implementation of XNOR-Net

zhaoweicai.github.io