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SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
Deep learning based object detectors are commonly deployed on mobile dev...
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Large-Scale Generative Data-Free Distillation
Knowledge distillation is one of the most popular and effective techniqu...
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Discovering Multi-Hardware Mobile Models via Architecture Search
Developing efficient models for mobile phones or other on-device deploym...
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Non-discriminative data or weak model? On the relative importance of data and model resolution
We explore the question of how the resolution of the input image ("input...
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Visual Wake Words Dataset
The emergence of Internet of Things (IoT) applications requires intellig...
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Geo-Aware Networks for Fine Grained Recognition
Fine grained recognition distinguishes among categories with subtle visu...
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Searching for MobileNetV3
We present the next generation of MobileNets based on a combination of c...
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Low-Power Computer Vision: Status, Challenges, Opportunities
Computer vision has achieved impressive progress in recent years. Meanwh...
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K For The Price Of 1: Parameter Efficient Multi-task And Transfer Learning
We introduce a novel method that enables parameter-efficient transfer an...
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2018 Low-Power Image Recognition Challenge
The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
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Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Transferring the knowledge learned from large scale datasets (e.g., Imag...
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NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
This work proposes an automated algorithm, called NetAdapt, that adapts ...
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Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation
In this paper we describe a new mobile architecture, MobileNetV2, that i...
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Inverted Residuals and Linear Bottlenecks: Mobile Networks forClassification, Detection and Segmentation
In this paper we describe a new mobile architecture, MobileNetV2, that i...
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Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
The rising popularity of intelligent mobile devices and the daunting com...
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The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
Current approaches for fine-grained recognition do the following: First,...
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Dynamical Systems Trees
We propose dynamical systems trees (DSTs) as a flexible class of models ...
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