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caffe

Caffe: a fast open framework for deep learning.

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

deep-residual-networks

Deep Residual Learning for Image Recognition

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.

detectron-cascade-rcnn

Cascade R-CNN in Detectron

edmips

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

examples

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

exponential-moving-average-normalization

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

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

faster_rcnn

Faster R-CNN

hwgq

Caffe implementation of accurate low-precision neural networks

mae

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

moco

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

mscnn

Caffe implementation of our multi-scale object detection framework

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

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