Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Repositories
zhaoweicai repositories
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Cascade R-CNN in Detectron
PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
PyTorch Implementation of XNOR-Net
Caffe: a fast open framework for deep learning.
Caffe implementation of multiple popular object detection frameworks
Deep Residual Learning for Image Recognition
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482
A faster pytorch implementation of faster r-cnn
Faster R-CNN
Caffe implementation of accurate low-precision neural networks
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Caffe implementation of our multi-scale object detection framework
PyTorch implementation of Omni-DETR for omni-supervised object detection: https://arxiv.org/abs/2203.16089
PyTorch implementation of Semi-supervised Vision Transformers