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  1. DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

    Python 700 213

  2. Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

    Lua 392 61

  3. MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

    Python 465 40

  4. Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019

    Python 151 41

  5. Rethinking Image Mixture for Unsupervised Visual Representation Learning

    Python 48 5

  6. ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.

    Python 105 20

51 contributions in the last year

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Contribution activity

November 2020

Created 1 commit in 1 repository
1 contribution in private repositories Nov 3

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