Xiang Li

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

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Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021

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

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Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"

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Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu：https://zhuanlan.zhihu.com/p/59690223

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reproduction of semantic segmentation using masked autoencoder (mae)

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Official Codes and Pretrained Models for RecursiveMix

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