- Searching for MobileNetV3
- Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
- AutoAugment: Learning Augmentation Strategies from Data
- Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
- MobileNetV2: Inverted Residuals and Linear Bottlenecks
- Progressive Neural Architecture Search
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- The iNaturalist Species Classification and Detection Dataset
- Xception: Deep Learning with Depthwise Separable Convolutions
- Learning Transferable Architectures for Scalable Image Recognition
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"Leaving society to algorithms will be like leaving healthcare to stethoscopes." ― Abhijit Naskar