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zhongtb's Projects

3dssd icon 3dssd

3DSSD: Point-based 3D Single Stage Object Detector (CVPR 2020)

activitynet icon activitynet

This repository is intended to host tools and demos for ActivityNet

adelaidet icon adelaidet

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

aicity-reid-2020 icon aicity-reid-2020

:red_car: The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)

arc-robot-vision icon arc-robot-vision

MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.

arflow icon arflow

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

basicsr icon basicsr

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.

centermulti icon centermulti

基于CenterNet训练的目标检测&人脸对齐&姿态估计模型

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

chinese-ocr icon chinese-ocr

基于CTPN(tensorflow)+CRNN(pytorch)+CTC的不定长文本检测和识别

complex-yolo icon complex-yolo

Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet

crnn icon crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

darts icon darts

Differentiable architecture search for convolutional and recurrent networks

dbface icon dbface

DBFace is a real-time, single-stage detector for face detection, with faster speed and higher accuracy

dcnv2 icon dcnv2

Deformable Convolutional Networks v2 with Pytorch

densefusion icon densefusion

"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository

esrgan icon esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

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