DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Auxilary scripts to work with (YOLO) darknet deep learning famework. AKA -> How to generate YOLO anchors?

A PyTorch Implementation of Single Shot MultiBox Detector

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

A memory-efficient implementation of DenseNets

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

Image-to-Image Translation in PyTorch

YAD2K: Yet Another Darknet 2 Keras

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

YOLO (Real-Time Object Detection) in caffe

Convert between visual object detection datasets

Caffe for YOLOv2 & YOLO9000