{"id":13688526,"url":"https://github.com/kobiso/Computer-Vision-Leaderboard","last_synced_at":"2025-05-01T19:31:05.250Z","repository":{"id":119031553,"uuid":"142736566","full_name":"kobiso/Computer-Vision-Leaderboard","owner":"kobiso","description":"Comparison of famous convolutional neural network 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Computer-Vision-Leaderboard\nThe goal of this repository is:\n- To keep on track of **state-of-the-art (SoTA)** on each vision task and new CNN architectures\n- To see the comparison of famous CNN models at a glance (performance, speed, size, etc.)\n- To access their research papers and implementations on different frameworks\n\n## Leaderboards\nLeaderboards are provided in the below link for better accessibility and usability.\n\n- [**ImageNet Classification Leaderboard**](https://kobiso.github.io/Computer-Vision-Leaderboard/imagenet)\n- [**Stanford Online Products Retrieval Leaderboard**](https://kobiso.github.io/Computer-Vision-Leaderboard/sop)\n- [**CARS196 Retrieval Leaderboard**](https://kobiso.github.io/Computer-Vision-Leaderboard/cars)\n- [**CUB-200-2011 Retrieval Leaderboard**](https://kobiso.github.io/Computer-Vision-Leaderboard/cub)\n- [**In-shop Clothes Retrieval Leaderboard**](https://kobiso.github.io/Computer-Vision-Leaderboard/in-shop)\n\n## Updates\n### ImageNet Classification Leaderboard\n- **181022.** Update [MnasNet](https://arxiv.org/abs/1807.11626) and [Big-Little Net](https://arxiv.org/abs/1807.03848)\n- **181024.** Create the [ImageNet Classification Leaderboard](https://kobiso.github.io/Computer-Vision-Leaderboard/imagenet) webpage for better accessibility and usability.\n- **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)\n- **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)\n- **190326.** Update [SKNet](https://arxiv.org/abs/1903.06586) paper\n- **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\n- **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\n- **190610.** Update [EfficientNet](https://arxiv.org/abs/1905.11946), and [GPipe](https://arxiv.org/abs/1811.06965) papers\n\n### Stanford Online Products Retrieval Leaderboard\n- **181222.** Create the [Stanford Online Products Retrieval Leaderboard](https://kobiso.github.io/Computer-Vision-Leaderboard/sop)\n- **190326.** Update [CGD](https://arxiv.org/abs/1903.10663) paper\n- **190415.** Update [HDML](http://arxiv.org/abs/1903.05503) and [EPSHN](http://arxiv.org/abs/1904.04370) paper\n\n\n### CARS196 Retrieval Leaderboard\n- **181222.** Create the [CARS196 Retrieval Leaderboard](https://kobiso.github.io/Computer-Vision-Leaderboard/cars)\n- **190326.** Update [CGD](https://arxiv.org/abs/1903.10663) paper\n- **190415.** Update [HDML](http://arxiv.org/abs/1903.05503) and [EPSHN](http://arxiv.org/abs/1904.04370) paper\n\n### CUB-200-2011 Retrieval Leaderboard\n- **181222.** Create the [CUB-200-2011 Retrieval Leaderboard](https://kobiso.github.io/Computer-Vision-Leaderboard/cub)\n- **190326.** Update [CGD](https://arxiv.org/abs/1903.10663) paper\n- **190415.** Update [HDML](http://arxiv.org/abs/1903.05503) and [EPSHN](http://arxiv.org/abs/1904.04370) paper\n\n### In-shop Clothes Retrieval Leaderboard\n- **190326.** Create the [In-shop Clothes Retrieval Leaderboard](https://kobiso.github.io/Computer-Vision-Leaderboard/in-shop)\n- **190326.** Update [CGD](https://arxiv.org/abs/1903.10663) paper\n- **190415.** Update [HDML](http://arxiv.org/abs/1903.05503) and [EPSHN](http://arxiv.org/abs/1904.04370) paper\n\n\n## Related Resources\nCheck the other good resources about CNN models\n- [Caffe-model](https://github.com/soeaver/caffe-model)\n- [TensorNets](https://github.com/taehoonlee/tensornets)\n- [DeepDetect : Open Source Deep Learning Server \u0026 API](https://github.com/jolibrain/deepdetect#deepdetect--open-source-deep-learning-server--api)\n- [Pretrained models for Pytorch](https://github.com/Cadene/pretrained-models.pytorch)\n- [Pretrained models for Chainer \u0026 Gluon](https://github.com/osmr/imgclsmob)\n- [Netscope CNN Analyzer](https://dgschwend.github.io/netscope/quickstart.html)\n- [Memory consumption and FLOP count](https://github.com/albanie/convnet-burden)\n\n## Author\nByung Soo Ko / kobiso62@gmail.com\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkobiso%2FComputer-Vision-Leaderboard","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkobiso%2FComputer-Vision-Leaderboard","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkobiso%2FComputer-Vision-Leaderboard/lists"}