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tangyoubao's Projects

fpn.pytorch icon fpn.pytorch

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

ggnn.pytorch icon ggnn.pytorch

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

graph-ter icon graph-ter

An official PyTorch implementation of the CVPR2020 paper "GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations".

gscnn icon gscnn

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

indrnn icon indrnn

TensorFlow implementation of Independently Recurrent Neural Networks

indrnn-pytorch icon indrnn-pytorch

pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831

l-gm-loss icon l-gm-loss

Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"

lip_jppnet icon lip_jppnet

Code repository for Joint Body Parsing & Pose Estimation Network, T-PAMI 2018

lr-gan.pytorch icon lr-gan.pytorch

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

lrslibrary icon lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

medicaldetectiontoolkit icon medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

memnet icon memnet

Code for our ICCV'17 paper "MemNet: A Persistent Memory Network for Image Restoration" (SPOTLIGHT Presentation)

mmcv icon mmcv

Open MMLab Computer Vision Foundation

mmdnn icon mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK and PyTorch.

models icon models

Models and examples built with TensorFlow

msdnet icon msdnet

Multi-Scale Dense Convolutional Networks for Efficient Prediction

orn icon orn

Oriented Response Networks, in CVPR 2017

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