Pinned Repositories
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's Repositories
flyingbird93/Aesthetic-Aessessment
use CNN to classificate aesthetic image quality
flyingbird93/mmdetection
Open MMLab Detection Toolbox and Benchmark
flyingbird93/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.
flyingbird93/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
flyingbird93/show-adapt-and-tell
Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
flyingbird93/30min_guides
覃健祥的学习笔记，各种几十分钟入门的文档
flyingbird93/a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
flyingbird93/Aesthetic-Image-Captioning-ICCVW-2019
Code and data for Aesthetic Image Captioning from Weakly-Labelled Photographs
flyingbird93/ava-mlsp
MLSP feature learning for the AVA aesthetics database
flyingbird93/awesome-gcn
resources for graph convolutional networks （图卷积神经网络相关资源）
flyingbird93/DBCNN-PyTorch
An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
flyingbird93/deformable-kernels
Deforming kernels to adapt towards object deformation. In ICLR 2020.
flyingbird93/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
flyingbird93/eccv2020_paperlist
flyingbird93/EndtoEndCroppingSystem
flyingbird93/gcn
Implementation of Graph Convolutional Networks in TensorFlow
flyingbird93/GloRe
Global Reasoning module for visual recognition
flyingbird93/Inceptionv4_and_Inception-ResNetv2.PyTorch
A PyTorch implementation of Inception-v4 and Inception-ResNet-v2.
flyingbird93/ML-GCN
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
flyingbird93/mmaction
flyingbird93/MPADA
The implementation of MP_{ada} in Attention-based Multi-patch Aggregation for Image Aesthetic Assessment
flyingbird93/my_vscode_repo
flyingbird93/numpy-ml
Machine learning, in numpy
flyingbird93/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
flyingbird93/pytorch_diffusion
PyTorch reimplementation of Diffusion Models
flyingbird93/reid_baseline
State-Of-The-Art ReID Baseline
flyingbird93/SciencePlots
Matplotlib styles for scientific plotting
flyingbird93/sppnet-pytorch
A simple Spatial Pyramid Pooling layer which could be added in CNN
flyingbird93/the-art-of-command-line
Master the command line, in one page
flyingbird93/torchreid_competition
https://www.kesci.com/home/competition/5d90401cd8fc4f002da8e7be/content/2