K_程式人

研讀主題依序如下:

1. 卷積神經網路

2. 邊緣計算技術

3. 物件偵測與辨識相關技術

4. 其他深度學習資料(不分類)

✯不定期更新研讀目錄, 可直接點擊論文名稱來觀看內容

1. 卷積神經網路

(1) 1998 LeNet

論文名稱: Gradient-Based Learning Applied to Document Recognition

(2) 2012 AlexNet

論文名稱: ImageNet Classification with Deep Convolutional Neural Networks

(3) 2013 ZFNet

論文名稱: Visualizing and Understanding Convolutional Networks

(4) 2014 VGGNet

論文名稱: Very Deep Convolutional Networks for Large-Scale Image Recognition

(5) 2014 GoogLeNet (InceptionNet v1)

論文名稱: Going Deeper with Convolutions

(6) 2015 InceptionNet v2

論文名稱: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

(7) 2015 InceptionNet v3

論文名稱: Rethinking the Inception Architecture for Computer Vision

(8) 2016 InceptionNet v4

論文名稱: Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

(9) 2015 ResNet

論文名稱: Deep Residual Learning for Image Recognition

(10) 2016 SqueezeNet

論文名稱: SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

(11) 2017 WRN

論文名稱: Wide Residual Networks

論文提供的程式碼: 點擊我

(12) 2017 ResNeXt

論文名稱: Aggregated Residual Transformations for Deep Neural Networks

(13) 2018 DenseNet

論文名稱: Densely Connected Convolutional Networks

論文提供的程式碼: 點擊我

(14) 2017 XceptionNet

論文名稱: Xception: Deep Learning with Depthwise Separable Convolutions

(15) 2017 MobileNet

論文名稱: MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

(16) 2019 MobileNet v3

論文名稱: Searching for MobileNetV3

(17) 2018 NASNet

論文名稱: Learning Transferable Architectures for Scalable Image Recognition

(18) 2018 ShuffleNet v2

論文名稱: ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

(19) 2019 EfficientNet

論文名稱: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

論文提供的程式碼: 點擊我

2. 邊緣計算技術

(1) 書籍: 邊緣計算方法與工程實踐

3. 物件偵測與辨識相關技術

(1) 2014 RCNN

論文名稱: Rich feature hierarchies for accurate object detection and semantic segmentation

論文提供的程式碼: 點擊我

(2) 2015 Fast-RCNN

論文名稱: Fast R-CNN

論文提供的程式碼: 點擊我

(3) 2016 Faster-RCNN

論文名稱: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(4) 2018 Mask RCNN (Segmentation技術)

論文名稱: Mask R-CNN

論文提供的程式碼: 點擊我

(5) 2016 SSD

論文名稱: SSD: Single Shot MultiBox Detector

論文提供的程式碼: 點擊我

(6) 2018 ALFNet

論文名稱: Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting

論文提供的程式碼: 點擊我

(7) 2015 DeepLab v1 (Segmentation技術)

論文名稱: Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

(8) 2017 DeepLab v2 (Segmentation技術)

論文名稱: DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(9) 2017 DeepLab v3 (Segmentation技術)

論文名稱: Rethinking Atrous Convolution for Semantic Image Segmentation

(10) 2018 DeepLab v3+ (Segmentation技術)

論文名稱: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

論文提供的程式碼: 點擊我

(11) 2016 YOLO v1

論文名稱: You Only Look Once: Unified, Real-Time Object Detection

(12) 2016 YOLO v2

論文名稱: YOLO9000: Better, Faster, Stronger

(13) 2018 YOLO v3

論文名稱: YOLOv3: An Incremental Improvement

論文提供的程式碼: 點擊我

(14) 2020 YOLO v4

論文名稱: YOLOv4: Optimal Speed and Accuracy of Object Detection

論文提供的程式碼: 點擊我

(15) 2018 CornerNet

論文名稱: ConerNet: Detecting Objects as Paired Keypoints

論文提供的程式碼: 點擊我

(16) 2019 CenterNet

論文名稱: CenterNet: Keypoint Triplets for Object Detection

論文提供的程式碼: 點擊我

4. 其他深度學習資料(不分類)

(1) 2014 GAN

論文名稱: Generative Adversarial Nets

論文提供的程式碼: 點擊我

(2) 2016 DCGAN 

論文名稱: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

(3) 2016 One Shot Learning

論文名稱: Matching Networks for One Shot Learning 

(4) 2019 Data Augmentation

論文名稱: Learning Data Augmentation Strategies for Object Detection

論文提供的程式碼: 點擊我

(5) 2019 Data Augmentation

論文名稱: Data Augmentation using Random Image Cropping and Patching for Deep CNNs