pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

Python Optimal Transport library

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

SNIPER is an efficient multi-scale object detection algorithm

A simplified implemention of Faster R-CNN that replicate performance from origin paper

🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

Codes and datasets for 'Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation' [Inoue+, CVPR2018].

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

A Tensorflow implementation of the paper arXiv:1604.03539

Piotr's Image & Video Matlab Toolbox

Code release for paper "Incremental Learning of Object Detectors without Catastrophic Forgetting"

Relation Networks for Object Detection

ResNet model in TensorFlow

Deformable Convolutional Networks

The collections of slides and speech videos in VALSE (Vision and Learning Seminar)

Caffe implementation of multiple popular object detection frameworks

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

ROIAlign from Mask-RCNN

Class Activation Mapping

Weakly Supervised Deep Detection Networks (CVPR 2016)

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

Caffe: a fast open framework for deep learning.

Unsupervised Person Re-identification (ICCV 2017)