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authorId(s): 143887493
Author(s): Mohammad Rastegari
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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
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Ali Farhadi
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MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
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Mohammad Rastegari
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OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge
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ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
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ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network
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IQA: Visual Question Answering in Interactive Environments
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What’s Hidden in a Randomly Weighted Neural Network?
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Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
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Attribute Discovery via Predictable Discriminative Binary Codes
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Label Refinery: Improving ImageNet Classification through Label Progression
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