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04/26/2022
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
Cross-entropy loss and focal loss are the most common choices when train...
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04/01/2021
EfficientNetV2: Smaller Models and Faster Training
This paper introduces EfficientNetV2, a new family of convolutional netw...
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10/30/2020
Training EfficientNets at Supercomputer Scale: 83 Accuracy in One Hour
EfficientNets are a family of state-of-the-art image classification mode...
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06/05/2020
AutoHAS: Differentiable Hyper-parameter and Architecture Search
Neural Architecture Search (NAS) has achieved significant progress in pu...
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12/10/2019
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
Convolutional neural networks typically encode an input image into a ser...
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07/22/2019
MixNet: Mixed Depthwise Convolutional Kernels
Depthwise convolution is becoming increasingly popular in modern efficie...
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05/28/2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Convolutional Neural Networks (ConvNets) are commonly developed at a fix...
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05/06/2019
Searching for MobileNetV3
We present the next generation of MobileNets based on a combination of c...
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07/31/2018
