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https://github.com/kobiso/Computer-Vision-Leaderboard

Comparison of famous convolutional neural network models
https://github.com/kobiso/Computer-Vision-Leaderboard

cars196 cnn computer-vision convolutional-neural-network cub200 image-retrieval imagenet in-shop sop sota

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Comparison of famous convolutional neural network models

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# 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**](https://kobiso.github.io/Computer-Vision-Leaderboard/imagenet)
- [**Stanford Online Products Retrieval Leaderboard**](https://kobiso.github.io/Computer-Vision-Leaderboard/sop)
- [**CARS196 Retrieval Leaderboard**](https://kobiso.github.io/Computer-Vision-Leaderboard/cars)
- [**CUB-200-2011 Retrieval Leaderboard**](https://kobiso.github.io/Computer-Vision-Leaderboard/cub)
- [**In-shop Clothes Retrieval Leaderboard**](https://kobiso.github.io/Computer-Vision-Leaderboard/in-shop)

## Updates
### ImageNet Classification Leaderboard
- **181022.** Update [MnasNet](https://arxiv.org/abs/1807.11626) and [Big-Little Net](https://arxiv.org/abs/1807.03848)
- **181024.** Create the [ImageNet Classification Leaderboard](https://kobiso.github.io/Computer-Vision-Leaderboard/imagenet) webpage for better accessibility and usability.
- **181126.** Update [A^2-Nets](https://arxiv.org/abs/1810.11579v1), [ResNet variants from GLUON-CV](https://gluon-cv.mxnet.io/model_zoo/classification.html#id184), and [ChannelNets](https://arxiv.org/pdf/1809.01330v1.pdf)
- **181130.** Update [FishNet](https://papers.nips.cc/paper/7356-fishnet-a-versatile-backbone-for-image-region-and-pixel-level-prediction.pdf) and [osmr/imgclsmob repo](https://github.com/osmr/imgclsmob)
- **190326.** Update [SKNet](https://arxiv.org/abs/1903.06586) paper
- **190505.** Update [RandWire-WS](https://arxiv.org/abs/1904.01569), [Res2Net](https://arxiv.org/abs/1904.01169), and [MultiGrain](https://arxiv.org/abs/1902.05509) papers
- **190524.** Update [ACNet](https://arxiv.org/abs/1904.03579), [iSQRT-COV-Net](https://arxiv.org/abs/1904.06836), [MobileNetV3](https://arxiv.org/abs/1905.02244), [OctConv](https://arxiv.org/abs/1904.05049), and [AAConv](https://arxiv.org/abs/1904.09925) papers
- **190610.** Update [EfficientNet](https://arxiv.org/abs/1905.11946), and [GPipe](https://arxiv.org/abs/1811.06965) papers

### Stanford Online Products Retrieval Leaderboard
- **181222.** Create the [Stanford Online Products Retrieval Leaderboard](https://kobiso.github.io/Computer-Vision-Leaderboard/sop)
- **190326.** Update [CGD](https://arxiv.org/abs/1903.10663) paper
- **190415.** Update [HDML](http://arxiv.org/abs/1903.05503) and [EPSHN](http://arxiv.org/abs/1904.04370) paper

### CARS196 Retrieval Leaderboard
- **181222.** Create the [CARS196 Retrieval Leaderboard](https://kobiso.github.io/Computer-Vision-Leaderboard/cars)
- **190326.** Update [CGD](https://arxiv.org/abs/1903.10663) paper
- **190415.** Update [HDML](http://arxiv.org/abs/1903.05503) and [EPSHN](http://arxiv.org/abs/1904.04370) paper

### CUB-200-2011 Retrieval Leaderboard
- **181222.** Create the [CUB-200-2011 Retrieval Leaderboard](https://kobiso.github.io/Computer-Vision-Leaderboard/cub)
- **190326.** Update [CGD](https://arxiv.org/abs/1903.10663) paper
- **190415.** Update [HDML](http://arxiv.org/abs/1903.05503) and [EPSHN](http://arxiv.org/abs/1904.04370) paper

### In-shop Clothes Retrieval Leaderboard
- **190326.** Create the [In-shop Clothes Retrieval Leaderboard](https://kobiso.github.io/Computer-Vision-Leaderboard/in-shop)
- **190326.** Update [CGD](https://arxiv.org/abs/1903.10663) paper
- **190415.** Update [HDML](http://arxiv.org/abs/1903.05503) and [EPSHN](http://arxiv.org/abs/1904.04370) paper

## Related Resources
Check the other good resources about CNN models
- [Caffe-model](https://github.com/soeaver/caffe-model)
- [TensorNets](https://github.com/taehoonlee/tensornets)
- [DeepDetect : Open Source Deep Learning Server & API](https://github.com/jolibrain/deepdetect#deepdetect--open-source-deep-learning-server--api)
- [Pretrained models for Pytorch](https://github.com/Cadene/pretrained-models.pytorch)
- [Pretrained models for Chainer & Gluon](https://github.com/osmr/imgclsmob)
- [Netscope CNN Analyzer](https://dgschwend.github.io/netscope/quickstart.html)
- [Memory consumption and FLOP count](https://github.com/albanie/convnet-burden)

## Author
Byung Soo Ko / [email protected]