Computer-Vision-Leaderboard

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

Leaderboards

Leaderboards are provided in the below link for better accessibility and usability.

• ImageNet Classification Leaderboard
• Stanford Online Products Retrieval Leaderboard
• CARS196 Retrieval Leaderboard
• CUB-200-2011 Retrieval Leaderboard
• In-shop Clothes Retrieval Leaderboard

Updates

ImageNet Classification 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
• 190326. Update SKNet paper
• 190505. Update RandWire-WS, Res2Net, and MultiGrain papers
• 190524. Update ACNet, iSQRT-COV-Net, MobileNetV3, OctConv, and AAConv papers
• 190610. Update EfficientNet, and GPipe papers

Stanford Online Products Retrieval Leaderboard

• 181222. Create the Stanford Online Products Retrieval Leaderboard
• 190326. Update CGD paper
• 190415. Update HDML and EPSHN paper

CARS196 Retrieval Leaderboard

• 181222. Create the CARS196 Retrieval Leaderboard
• 190326. Update CGD paper
• 190415. Update HDML and EPSHN paper

CUB-200-2011 Retrieval Leaderboard

• 181222. Create the CUB-200-2011 Retrieval Leaderboard
• 190326. Update CGD paper
• 190415. Update HDML and EPSHN paper

In-shop Clothes Retrieval Leaderboard

• 190326. Create the In-shop Clothes Retrieval Leaderboard
• 190326. Update CGD paper
• 190415. Update HDML and EPSHN paper

Related Resources

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

Author

Byung Soo Ko / [email protected]