# Edge AI相關學術論文
這裡主要搜集單板微電腦(SBC)、行動裝置或小型工業電腦等級的機器學習、人工智慧、深度學習等相關研究及論文。而單晶片（MCU）等級之相關研究及論文請參考另一篇「[tinyML相關學術論文](https://hackmd.io/@OmniXRI-Jack/tinyML_papers)」。

註：相關論文連結不一定有提供PDF可供下載，或者必須有學術網路帳號才能下載，請自行點擊查閱。以下論文清單依發表時間(相同月份）由新到舊月份排序。

最後更新日期 : 2022/2/25

## Intel OpenVINO相關
### Feb. 2023
* [DeepPilot4Pose: a fast pose localisation for MAV indoor flight using the OAK-D camera](https://link.springer.com/article/10.1007/s11554-023-01259-x)

### Jan. 2023
* [Autonomous Satellite Wildfire Detection Using Hyperspectral Imagery and Neural Networks: A Case Study on Australian Wildfire](https://www.mdpi.com/2072-4292/15/3/720)
* [Light-weight segmentation network based on SOLOv2 for weld seam feature extraction](https://www.sciencedirect.com/science/article/pii/S0263224123000568)

### 2022
* [Anomalib: A Deep Learning Library for Anomaly Detection](https://arxiv.org/abs/2202.08341)
* [CDSFusion: Dense Semantic SLAM for Indoor Environment Using CPU Computing](https://www.mdpi.com/2072-4292/14/4/979)
* [Automated License Plate Recognition for Resource-Constrained Environments](https://www.mdpi.com/1424-8220/22/4/1434/htm)
* [Free Bits: Platform-Aware Latency Optimization of Mixed-Precision Neural Networks for Edge Deployment](https://openreview.net/forum?id=_GcWoi0SQm)

### 2021
* [LIGAR: Lightweight General-purpose Action Recognition](https://arxiv.org/abs/2108.13153)
* [Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems](https://arxiv.org/abs/2108.07049)
* [DeepFreeze: Cold Boot Attacks and High Fidelity Model Recovery on Commercial EdgeML Device](https://arxiv.org/abs/2108.01281)
* [YOLOX: Exceeding YOLO Series in 2021](https://arxiv.org/abs/2107.04144)
* [Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration](https://arxiv.org/abs/2107.04144)
* [Open Images V5 Text Annotation and Yet Another Mask Text Spotter](https://arxiv.org/abs/2106.12326)
* [Post-training deep neural network pruning via layer-wise calibration](https://arxiv.org/abs/2103.03539)
* [SparseDNN: Fast Sparse Deep Learning Inference on CPUs](https://arxiv.org/abs/2101.07948)
* [Portability and Acceleration of Deep Learning Inferences to Detect Rapid Earthquake Damage From VHR Remote Sensing Images Using Intel OpenVINO Toolkit](https://ieeexplore.ieee.org/abstract/document/9416728)
* [Automated Smart Traffic Junction Overhead Pole Camera Analytics with Deep Neural Network](https://inotek.utem.edu.my/inotek/article/view/80)
* [Tactics Overview for Implementing High-Performance Computing on Embedded Platforms](https://iopscience.iop.org/article/10.1088/1757-899X/1172/1/012034/meta)
* [Computer Vision-Based Assistance System for the Visually Impaired Using Mobile Edge Artificial Intelligence](https://openaccess.thecvf.com/content/CVPR2021W/MAI/html/Mahendran_Computer_Vision-Based_Assistance_System_for_the_Visually_Impaired_Using_Mobile_CVPRW_2021_paper.html)

### 2020
* [DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features](https://arxiv.org/abs/2008.05416)
* [ASL Recognition with Metric-Learning based Lightweight Network](https://arxiv.org/abs/2004.05054)
* [Neural Network Compression Framework for fast model inference](https://arxiv.org/abs/2002.08679)
* [Training Progressively Binarizing Deep Networks Using FPGAs](https://arxiv.org/abs/2001.02390)
* [OpenVINO Deep Learning Workbench: Towards Analytical Platform for Neural Networks Inference Optimization](https://iopscience.iop.org/article/10.1088/1742-6596/1828/1/012012/meta)
* [DL-inferencing for 3D Cephalometric Landmarks Regression task using OpenVINO](http://ceur-ws.org/Vol-2744/paper35.pdf)
* [Face reidentification system to track factory visitors using OpenVINO](http://eprints.utar.edu.my/3833/)
* [ANTA: Accelerated Network Traffic Analytics](https://jayscholar.etown.edu/scarp/14/)
* [InnovFaceNet: Deep Face Recognition for Industrial Environments](https://openjournals.uwaterloo.ca/index.php/vsl/article/download/3553/4599)

### 2019
* [NTP : A Neural Network Topology Profiler](https://arxiv.org/abs/1905.09063)
* [OpenVINO Deep Learning Workbench: Comprehensive Analysis and Tuning of Neural Networks Inference](https://openaccess.thecvf.com/content_ICCVW_2019/html/SDL-CV/Gorbachev_OpenVINO_Deep_Learning_Workbench_Comprehensive_Analysis_and_Tuning_of_Neural_ICCVW_2019_paper.html)
* [Recognition of various objects from a certain categorical set in real time using deep convolutional neural networks](http://ceur-ws.org/Vol-2500/paper_5.pdf)
* [Hand Gesture Recognition Using Movidius Neural Compute Stick](https://ieeexplore.ieee.org/abstract/document/8906357)
* [LFFD: A Light and Fast Face Detector for Edge Devices](https://arxiv.org/abs/1904.10633)

### 2018
* [Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose](https://arxiv.org/abs/1811.12004)
* [Development of Real-time ADAS Object Detector for Deployment on CPU](https://arxiv.org/abs/1811.05894)
* [Optimizing CNN Model Inference on CPUs](https://arxiv.org/abs/1809.02697)

## Nvidia Jetson相關

## Google Coral相關
### Jan. 2023
* [Google Coral-based edge computing person reidentification using human parsing combined with analytical method](https://www.sciencedirect.com/science/article/abs/pii/S2542660523000240)

## 其它

### 2023
* [A Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques](https://arxiv.org/abs/2302.08571)

### 2022
* [A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey](https://arxiv.org/abs/2208.10895)
* [Edge-Oriented Computing: A Survey on Research and Use Cases](https://www.mdpi.com/1996-1073/15/2/452)
* [DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training](https://ieeexplore.ieee.org/document/9903915)

### 2021
* [A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things](https://arxiv.org/abs/2104.10501)
* [Fusion of Federated Learning and Industrial Internet of Things: A Survey](https://arxiv.org/abs/2101.00798)

### 2020
* [A survey of AI accelerators for edge environment](https://www.researchgate.net/publication/341996594_A_Survey_of_AI_Accelerators_for_Edge_Environment)

### 2019
* [Impact of Inference Accelerators on hardware selection](https://arxiv.org/abs/1910.03060)
* [Machine Learning at the Network Edge: A Survey](https://arxiv.org/abs/1908.00080)
* [Edge Intelligence and Internet of Things in Healthcare: A Survey](https://ieeexplore.ieee.org/abstract/document/9294145)

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**資料來源：Google學術搜尋、arXiv、ResearchGate等**
ps. 文章清單排序無任何意義，僅依收錄順序，這裡僅收錄可下載原文之項目，其餘請自行搜尋。

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