The goal of this repository is:

• To keep on track of state-of-the-art (SoTA) on each vision task and new CNN architectures
• To see the comparison of famous CNN models at a glance (performance, speed, size, etc.)
• To access their research papers and implementations on different frameworks

From now, leaderboard is provided in the below link for better accessibility and usability.

• ImageNet Classification Leaderboard

• To do

  • Image retrieval leaderboard

• 181022. Update MnasNet and Big-Little Net
• 181024. Create the ImageNet Classification Leaderboard webpage for better accessibility and usability.
• 181126. Update A^2-Nets, ResNet variants from GLUON-CV, and ChannelNets
• 181130. Update FishNet and osmr/imgclsmob repo

Check the other good resources about CNN models

• Caffe-model
• TensorNets
• DeepDetect : Open Source Deep Learning Server & API
• Pretrained models for Pytorch
• Pretrained models for Chainer & Gluon
• Netscope CNN Analyzer
• Memory consumption and FLOP count

Byung Soo Ko / kobiso62@gmail.com