flyingbird93

ACPD-Net

Aesthetic-Aessessment

use CNN to classificate aesthetic image quality

Awesome-Aesthetic-Evaluation-and-Cropping

ConvNeXt

Code release for ConvNeXt model

DMP

Deep Multi Patch Aggregation

MILNet

Multiple image joint learning for image aesthetic assessment

mmdetection

Open MMLab Detection Toolbox and Benchmark

ObjectDatasetTools

Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

show-adapt-and-tell

Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

flyingbird93/adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

flyingbird93/AestheticAssessment

A simple structure and implementation of photo quality assessment from aesthetic point of view. Implemented in 2015.

flyingbird93/aesthetics

Image Aesthetics Toolkit - includes Fisher Vector implementation, AVA (Image Aesthetic Visual Analysis) dataset and fast multi-threaded downloader

flyingbird93/aestheticsPerception

Deep CNN for image aesthetic perception

flyingbird93/AI_Challenger

AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world.

flyingbird93/cama_summer_class_2017

杭电 CAMA-LAB 机器学习暑期研讨班

flyingbird93/convolutional-pose-machines-release

Code repository for Convolutional Pose Machines, CVPR'16

flyingbird93/create-TV-script

My third project is create TV script by RNN and LSTM

flyingbird93/Deep-Learning

some projects about deep learning

flyingbird93/deep-learning-models

Keras code and weights files for popular deep learning models.

flyingbird93/deep-mind

my first neural network

flyingbird93/DeepLab-Context

flyingbird93/deeplearning.ai

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

flyingbird93/face_generation

flyingbird93/Fine-tuning-a-pre-trained-CNN-for-first-year-sea-ice-and-multi-year-sea-ice-cp-imagery-classificatio

Mapping first-year sea ice and multi-year sea ice in the oceans is significant for many applications. For example, ship navigation and weather forecast. Accurate and robust classification methods of multi-year ice and first-year ice are in demand [2]. Hybrid-polarity SAR architecture will be included in future SAR missions such as the Canadian RADARSAT Constellation Mission (RCM). These sensors will enable the use of compact polarimetry (CP) data in wide swath imagery [1]. Convolutional neural networks (CNNs) are becoming increasingly popular in many research communities due to availability of large image datasets and high-performance computing systems. As Convolutional networks (ConvNets) have achieved great success on many image classification tasks, I pursue this method for the classification of image patches from compact polarimety (CP) imagery into first-year ice and multi-year ice is applicable. In this course project, my work is kind of like the first practice of the CP imagery classification by fine-tuning a pre-trained convolutional neural network (CNN). Specifically, fine-tuning the last fully-connected layer of a pre-trained convolutional networks, I extract patches from simulated CP images as my dataset, the classification accuracy of the test set achieved 91.3% by fine-tuning a pre-trained CNN, compared to 49.4% classification accuracy by training from scratch.

flyingbird93/image_classification

My second project by using CNN to finish images classification

flyingbird93/language-translate

flyingbird93/Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

flyingbird93/my_first_neural_network

my first neural network in predict future bicycle numbers

flyingbird93/PSPNet

Pyramid Scene Parsing Network

flyingbird93/PSPNET-cudnn5

The PSPNET supported cudnn v.5 based on https://github.com/hszhao/PSPNet

flyingbird93/recognizing_image_style_writeup

Paper submissions and slides for this project.

flyingbird93/SPP_net

SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

flyingbird93/tensorflow-model-zoo.torch

InceptionV3, InceptionV4, Inception-Resnet pretrained models for Torch7 and PyTorch

flyingbird93/YAD2K

YAD2K: Yet Another Darknet 2 Keras

flyingbird93/Yang_Ramanan

code for Articulated Human Detection with Flexible Mixtures-of-Parts

flyingbird93/YOLO_Object_Detection

This is the code for "YOLO Object Detection" by Siraj Raval on Youtube