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adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

attngan

auto_painter

Recently, realistic image generation using deep neural networks has become a hot topic in machine learning and computer vision. Such an image can be generated at pixel level by learning from a large collection of images. Learning to generate colorful cartoon images from black-and-white sketches is not only an interesting research problem, but also a useful application in digital entertainment. In this paper, we investigate the sketch-to-image synthesis problem by using conditional generative adversarial networks (cGAN). We propose a model called auto-painter which can automatically generate compatible colors given a sketch. Wasserstein distance is used in training cGAN to overcome model collapse and enable the model converged much better. The new model is not only capable of painting hand-draw sketch with compatible colors, but also allowing users to indicate preferred colors. Experimental results on different sketch datasets show that the auto-painter performs better than other existing image-to-image methods.

auto_painter_demo

The code of building a web demo for Auto_painter

canet

The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

carafe

Unofficial implementation of CARAFE: Content-Aware ReAssembly of FEatures. Pure pytorch imp

cc-fpse

coco

MS COCO API - http://mscoco.org/

colorization

reading note

conditional-dcgan-keras

Keras implementation of the conditional GAN.

couplegenerator

Generate your lover with your photo

cwd

Channel-wise Distillation for Semantic Segmentation

dcp

Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”

deep-photo-styletransfer-tf

Tensorflow (Python API) implementation of Deep Photo Style Transfer

deeplabv3plus-pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

denseaspp

DenseASPP for Semantic Segmentation in Street Scenes

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

diffuser

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

digits

Deep Learning GPU Training System

dorn_pytorch

PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation

dvn

dvn for semantic segmentation

edgenets

This repository contains the source code of our work on designing efficient CNNs for computer vision

emm-for-stock-prediction

We propose a model to analyze sentiment of online stock forum and use the information to predict stock volatility in the Chinese market. By generating a sentimental dictionary, we analyze the sentimental tendencies of each post as sentiment indicators. Such sentimental information will be fused with market data for prediction based on Recurrent Neural Networks (RNNs). We manually labeled the sentiment of forum post and make the data public available for research. Empirical evidence shows that 8 of the 10 stocks perform better with sentimental indicators.

erfnet_pytorch

Pytorch code for semantic segmentation using ERFNet

espnetv2

A light-weight, power efficient, and general purpose convolutional neural network

etc-real-time-per-frame-semantic-video-segmentation

Enforcing temporal consistency in real-time per-frame semantic video segmentation

examples

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

fchardnet

Fully Convolutional HarDNet for Segmentation in Pytorch

fcos

FCOS: Fully Convolutional One-Stage Object Detection