changzhonghan

changzhonghan's Stars

• CVCUDA/CV-CUDA

  CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

  Language:C++2.3k210

• The-Run-Philosophy-Organization/run

  润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新**人的核心宗教，核心信念。

  31.4k2.6k

• vikrant7/pytorch-looking-fast-and-slow

  PyTorch implementation of Looking Fast and Slow: Memory-Guided Mobile Video Object Detection

  Language:Python9724

• Scalsol/mega.pytorch

  Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020

  Language:Python566115

• jiangzhengkai/LSTS

  [ECCV 2020] Learning Where to Focus for Efficient Video Object Detection

  Language:Python877

• RangiLyu/nanodet

  NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

  Language:Python5.7k1k

• xingyizhou/CenterNet2

  Two-stage CenterNet

  Language:Python1.2k188

• implus/GFocal

  Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

  Language:Python57273

• JunMa11/SegLossOdyssey

  A collection of loss functions for medical image segmentation

  Language:Python3.7k595

• kettanaito/naming-cheatsheet

  Comprehensive language-agnostic guidelines on variables naming. Home of the A/HC/LC pattern.

  13.8k860

• mschroen/review_response_letter

  Template for Latex and/or Pandoc to quickly write reviews and (author) response letters

  Language:TeX16755

• VisDrone/VisDrone2018-VID-toolkit

  Object Detection in Videos toolkit for VisDrone2019

  Language:MATLAB3219

• qubvel/classification_models

  Classification models trained on ImageNet. Keras.

  Language:Python1.2k308

• kastnerkyle/deform-conv

  Deformable Convolution in TensorFlow / Keras

  Language:Python210188

• tensorpack/tensorpack

  A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

  Language:Python6.3k1.8k

• gustavz/Mobile_Mask_RCNN

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

  Language:Python24459

• itdaniher/aarch64-tensorflow

  tensorflow and bazel for aarch64: binaries at...

  143

• lherman-cs/tensorflow-aarch64

  Compiled tensorflow for aarch64 architecture

  217

• noahzhy/tf-aarch64

  Easy to install Tensorflow on AArch64

  83

• samjabrahams/tensorflow-on-raspberry-pi

  TensorFlow for Raspberry Pi

  Language:Python2.2k496

• zengarden/light_head_rcnn

  Light-Head R-CNN

  Language:Jupyter Notebook833223

• MhLiao/TextBoxes_plusplus

  TextBoxes++: A Single-Shot Oriented Scene Text Detector

  Language:C++953279

• CAPTAIN-WHU/DOTA_devkit

  Language:Jupyter Notebook627184

• BenWhetton/keras-surgeon

  Pruning and other network surgery for trained Keras models.

  Language:Python402107

• Cpruce/Mask_RCNN

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

  Language:Python319

• jacobgil/keras-grad-cam

  An implementation of Grad-CAM with keras

  Language:Python656237

• babajide07/Redundant-Feature-Pruning-Pytorch-Implementation

  Language:Python152

• Randl/MobileNetV2-pytorch

  Impementation of MobileNetV2 in pytorch

  Language:Python26783

• NidabaSys/Simplified_SqueezeNet

  An improved version of SqueezeNet networks https://github.com/DeepScale/SqueezeNet

  378

• forresti/SqueezeNet

  SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

  2.2k723