ION

ION

2019/11/25

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// ION

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// ION

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// ION

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References

# ION

Bell, Sean, et al. "Inside-outside net: Detecting objects in context with skip pooling and recurrent neural networks." Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.

http://openaccess.thecvf.com/content_cvpr_2016/papers/Bell_Inside-Outside_Net_Detecting_CVPR_2016_paper.pdf

Inside-Outside Net (ION)论文阅读理解 - qq_35608277的博客 - CSDN博客
https://blog.csdn.net/qq_35608277/article/details/80456011

YOLO v2

YOLO v2

2019/11/25

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// YOLO v2

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// YOLO v2

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References

# YOLO v2

Redmon, Joseph, and Ali Farhadi. "YOLO9000: better, faster, stronger." arXiv preprint (2017).

http://openaccess.thecvf.com/content_cvpr_2017/papers/Redmon_YOLO9000_Better_Faster_CVPR_2017_paper.pdf 

目标检测_YOLOv2原理与实现(附YOLOv3) - 知乎

https://zhuanlan.zhihu.com/p/35325884

DSSD

DSSD

2019/11/21

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# DSSD

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References

# DSSD

Fu, Cheng-Yang, et al. "Dssd: Deconvolutional single shot detector." arXiv preprint arXiv:1701.06659 (2017).

https://arxiv.org/pdf/1701.06659.pdf 

DSSD：Deconvolutional Single Shot Detector 解析与实践 - 知乎
https://zhuanlan.zhihu.com/p/33036037

SSD

SSD

2019/09/09

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// SSD

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// SSD

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Outline

一、Evolution of Object Detection

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References

◎ 論文

[1] SSD
Liu, Wei, et al. "SSD: Single shot multibox detector." European conference on computer vision. Springer, Cham, 2016.
https://arxiv.org/pdf/1512.02325.pdf

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◎ 英文參考資料

Object Detection for Dummies Part 1  Gradient Vector, HOG, and SS
https://lilianweng.github.io/lil-log/2017/10/29/object-recognition-for-dummies-part-1.html

Object Detection for Dummies Part 2  CNN, DPM and Overfeat
https://lilianweng.github.io/lil-log/2017/12/15/object-recognition-for-dummies-part-2.html

# 綜述
# 6.6K claps
[2] A Brief History of CNNs in Image Segmentation  From R-CNN to Mask R-CNN
https://blog.athelas.com/a-brief-history-of-cnns-in-image-segmentation-from-r-cnn-to-mask-r-cnn-34ea83205de4

# 綜述
# 1.7K claps
[3] Going deep into object detection - Towards Data Science
https://towardsdatascience.com/going-deep-into-object-detection-bed442d92b34

# SS
[6] Selective Search for Object Detection (C++ _ Python) _ Learn OpenCV
https://www.learnopencv.com/selective-search-for-object-detection-cpp-python/

# SSD
# 4.6K claps
[9] Understanding SSD MultiBox — Real-Time Object Detection In Deep Learning
https://towardsdatascience.com/understanding-ssd-multibox-real-time-object-detection-in-deep-learning-495ef744fab

# SSD
# 2.2K claps
[10] SSD object detection  Single Shot MultiBox Detector for real-time processing
https://medium.com/@jonathan_hui/ssd-object-detection-single-shot-multibox-detector-for-real-time-processing-9bd8deac0e06

# SSD
# 336 claps
[11] Review  SSD — Single Shot Detector (Object Detection)
https://towardsdatascience.com/review-ssd-single-shot-detector-object-detection-851a94607d11

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◎ 簡體中文參考資料

# SS
# 32 claps
[7] 理解Selective Search - 知乎
https://zhuanlan.zhihu.com/p/39927488 

# SS
[8] 论文笔记：Selective Search for Object Recognition _ Jermmy's Lazy Blog
http://jermmy.xyz/2017/05/04/2017-5-4-paper-notes-selective-search/ 

# SSD
# 996 claps
[12] 目标检测_SSD原理与实现 - 知乎
https://zhuanlan.zhihu.com/p/33544892

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◎ 繁體中文參考資料

# 綜述
# 6.1K claps
[4] 關於影像辨識，所有你應該知道的深度學習模型 - Cubo AI - Medium
https://medium.com/cubo-ai/%E7%89%A9%E9%AB%94%E5%81%B5%E6%B8%AC-object-detection-740096ec4540

# 綜述
# 85 claps
[5] SSD  Single Shot MultiBox Detector 介紹 - 王得懿 - Medium
https://medium.com/@bigwaterking01/ssd-single-shot-multibox-detector-%E4%BB%8B%E7%B4%B9-1fe95073c1a3

# SSD
# 18 claps
[13] SSD(Single Shot MultiBox Detector) 詳解 - Sam Zheng - Medium
https://medium.com/@kweisamx0322/ssd-single-shot-multibox-detector-%E8%A9%B3%E8%A7%A3-d091bd0370f9

YOLO v1

YOLO v1

2019/11/25

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// YOLO v1

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// YOLO v1

-----

// YOLO v1

-----

// YOLO v1

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References

# YOLO v1
Redmon, Joseph, et al. "You only look once: Unified, real-time object detection." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016.
https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Redmon_You_Only_Look_CVPR_2016_paper.pdf

YOLOv1论文理解 - hrsstudy的博客 - CSDN博客
https://blog.csdn.net/hrsstudy/article/details/70305791

OverFeat

OverFeat

2019/11/25

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// OverFeat

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// OverFeat

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References

# OverFeat

Sermanet, Pierre, et al. "Overfeat: Integrated recognition, localization and detection using convolutional networks." arXiv preprint arXiv:1312.6229 (2013).

https://arxiv.org/pdf/1312.6229.pdf

深度学习（二十）基于Overfeat的图片分类、定位、检测 - hjimce的专栏 - CSDN博客
https://blog.csdn.net/hjimce/article/details/50187881

Faster R-CNN

Faster R-CNN

2019/09/09

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// Faster R-CNN Explained - Hao Gao - Medium

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// Faster R-CNN 目标检测（四） - 浩瀚宇宙 ·AaronChen

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// Faster R-CNN's RPN - This is Robert Lexis

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// Review of Deep Learning Algorithms for Object Detection

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// Faster R-CNN

-----

// Review of Deep Learning Algorithms for Object Detection

----- 

// Review of Deep Learning Algorithms for Object Detection

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// Review of Deep Learning Algorithms for Object Detection

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References

◎ 論文

Faster R-CNN
Ren, Shaoqing, et al. "Faster R-CNN: Towards real-time object detection with region proposal networks." Advances in neural information processing systems. 2015.
http://papers.nips.cc/paper/5638-faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks.pdf

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Faster R-CNN Explained - Hao Gao - Medium
https://medium.com/@smallfishbigsea/faster-r-cnn-explained-864d4fb7e3f8

Review of Deep Learning Algorithms for Object Detection
https://medium.com/zylapp/review-of-deep-learning-algorithms-for-object-detection-c1f3d437b852 

Object Detection for Dummies Part 3  R-CNN Family
https://lilianweng.github.io/lil-log/2017/12/31/object-recognition-for-dummies-part-3.html

◎ 綜述

# 3.5K claps
[2] R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms
https://towardsdatascience.com/r-cnn-fast-r-cnn-faster-r-cnn-yolo-object-detection-algorithms-36d53571365e

一文读懂目标检测：R-CNN、Fast R-CNN、Faster R-CNN、YOLO、SSD - 结构之法 算法之道 - CSDN博客
https://blog.csdn.net/v_july_v/article/details/80170182

關於影像辨識，所有你應該知道的深度學習模型 - Cubo AI - Medium
https://medium.com/cubo-ai/%E7%89%A9%E9%AB%94%E5%81%B5%E6%B8%AC-object-detection-740096ec4540

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◎ 解說

# 3.4K claps
Faster R-CNN Explained - Hao Gao - Medium
https://medium.com/@smallfishbigsea/faster-r-cnn-explained-864d4fb7e3f8 

# 204 claps
Review  Faster R-CNN (Object Detection) - Towards Data Science
https://towardsdatascience.com/review-faster-r-cnn-object-detection-f5685cb30202

# 192 claps
A deeper look at how Faster-RCNN works - Subrata Goswami - Medium
https://medium.com/@whatdhack/a-deeper-look-at-how-faster-rcnn-works-84081284e1cd

Faster R-CNN  Down the rabbit hole of modern object detection _ Tryolabs Blog
https://tryolabs.com/blog/2018/01/18/faster-r-cnn-down-the-rabbit-hole-of-modern-object-detection/

Faster R-CNN's RPN - This is Robert Lexis
https://robertlexis.github.io/2018/07/09/Faster-R-CNN-s-RPN/

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# 2.4K claps
一文读懂Faster RCNN - 知乎
https://zhuanlan.zhihu.com/p/31426458

【目标检测】Faster RCNN算法详解 - shenxiaolu1984的专栏 - CSDN博客
https://blog.csdn.net/shenxiaolu1984/article/details/51152614

Faster R-CNN 目标检测（四） - 浩瀚宇宙 ·AaronChen
https://www.hhyz.me/2018/04/16/FasterRCNN/

Fast R-CNN

Fast R-CNN

2019/11/25

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// Fast R-CNN

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References

# Fast R-CNN
Girshick, Ross. "Fast R-CNN." Proceedings of the IEEE international conference on computer vision. 2015.
http://openaccess.thecvf.com/content_iccv_2015/papers/Girshick_Fast_R-CNN_ICCV_2015_paper.pdf 

Fast R-CNN（理解） - CZiFan - 博客园
https://www.cnblogs.com/CZiFan/p/9903518.html

SPPNet

SPPNet

2019/11/25

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// SPPNet

-----

// SPPNet

-----

// SPPNet

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References

# SPPNet

He, Kaiming, et al. "Spatial pyramid pooling in deep convolutional networks for visual recognition." european conference on computer vision. Springer, Cham, 2014.
https://arxiv.org/pdf/1406.4729.pdf 

SPPNet-引入空间金字塔池化改进RCNN - 知乎

https://zhuanlan.zhihu.com/p/24774302

R-CNN

R-CNN

2019/11/25

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// R-CNN

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References

# R-CNN
Girshick, Ross, et al. "Rich feature hierarchies for accurate object detection and semantic segmentation." Proceedings of the IEEE conference on computer vision and pattern recognition. 2014.
https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Girshick_Rich_Feature_Hierarchies_2014_CVPR_paper.pdf?spm=5176.100239.blogcont55892.8.pm8zm1&file=Girshick_Rich_Feature_Hierarchies_2014_CVPR_paper.pdf 

一文读懂目标检测：R-CNN、Fast R-CNN、Faster R-CNN、YOLO、SSD - 结构之法 算法之道 - CSDN博客
https://blog.csdn.net/v_july_v/article/details/80170182

SS

SS

2019/11/25

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// SS

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References

# SS

Uijlings, Jasper RR, et al. "Selective search for object recognition." International journal of computer vision 104.2 (2013): 154-171.
https://ivi.fnwi.uva.nl/isis/publications/2013/UijlingsIJCV2013/UijlingsIJCV2013.pdf 

理解Selective Search - 知乎

https://zhuanlan.zhihu.com/p/39927488

DPM

DPM

2019/11/25

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// DPM

-----

References

# DPM

Felzenszwalb, Pedro F., et al. "Object detection with discriminatively trained part-based models." IEEE transactions on pattern analysis and machine intelligence 32.9 (2010): 1627-1645.

https://ttic.uchicago.edu/~dmcallester/lsvm-pami.pdf

形变目标识别DPM论文《Object Detection with Discriminatively Trained Part Based Models》阅读笔记 - sysu_yuhaibao的博客 - CSDN博客

https://blog.csdn.net/sysu_yuhaibao/article/details/76599926

Object Detection

Object Detection

2019/10/14

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Fig. Object detection（圖片來源：Pixabay）。

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Computer Vision

-----

// GitHub - weslynn_AlphaTree-graphic-deep-neural-network  将深度神经网络中的一些模型 进行统一的图示，便于大家对模型的理解

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Object Detection

-----

// Deep learning for generic object detection: A survey

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// Object Detection in 20 Years: A Survey

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// GitHub - hoya012_deep_learning_object_detection  A paper list of object detection using deep learning

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// 最近の物体検出 2019_05_30

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// A Survey of Deep Learning-based Object Detection

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// Imbalance Problems in Object Detection: A Review

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// Imbalance Problems in Object Detection: A Review

-----

// Imbalance Problems in Object Detection: A Review

-----

// A Survey of Deep Learning-based Object Detection

-----

// A Survey of Deep Learning-based Object Detection

-----

// Imbalance Problems in Object Detection: A Review

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References

Liu, Li, et al. "Deep learning for generic object detection: A survey." arXiv preprint arXiv:1809.02165 (2018).

https://arxiv.org/pdf/1809.02165.pdf

Zou, Zhengxia, et al. "Object Detection in 20 Years: A Survey." arXiv preprint arXiv:1905.05055 (2019).

https://arxiv.org/pdf/1905.05055.pdf

Jiao, Licheng, et al. "A Survey of Deep Learning-based Object Detection." arXiv preprint arXiv:1907.09408 (2019).

https://arxiv.org/pdf/1907.09408.pdf

Oksuz, Kemal, et al. "Imbalance Problems in Object Detection: A Review." arXiv preprint arXiv:1909.00169 (2019).

https://arxiv.org/pdf/1909.00169.pdf

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GitHub - hoya012_deep_learning_object_detection  A paper list of object detection using deep learning
https://github.com/hoya012/deep_learning_object_detection

GitHub - amusi_awesome-object-detection  Awesome Object Detection based on handong1587 github  https _handong1587.github.io_deep_learning_2015_10_09_object-detection
https://github.com/amusi/awesome-object-detection

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最近の物体検出 2019_05_30
https://www.slideshare.net/xyzw3/object-detection-190530

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GitHub - weslynn_AlphaTree-graphic-deep-neural-network  将深度神经网络中的一些模型 进行统一的图示，便于大家对模型的理解
https://github.com/weslynn/AlphaTree-graphic-deep-neural-network 

Gu Ha Ra

Gu Ha Ra

2019/12/02

-----

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丁癸己庚
巳未丑午

丙戌運丑戌未三刑。
己亥年壓力大。

己巳月壓力大，自殺未成功。
會理財丁巳時。
性格開朗上升白羊。
乙亥月巳亥沖？

-----

References

具荷拉 - 維基百科，自由的百科全書
https://zh.wikipedia.org/wiki/%E5%85%B7%E8%8D%B7%E6%8B%89

Semantic Segmentation

Semantic Segmentation

2019/01/17

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Fig. 1. FCN（對每個像素進行分類） [1]。

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# ICNet

-----

References

Paper

# ICNet

Zhao, Hengshuang, et al. "Icnet for real-time semantic segmentation on high-resolution images." Proceedings of the European Conference on Computer Vision (ECCV). 2018.

http://openaccess.thecvf.com/content_ECCV_2018/papers/Hengshuang_Zhao_ICNet_for_Real-Time_ECCV_2018_paper.pdf

# Survey

Garcia-Garcia, Alberto, et al. "A survey on deep learning techniques for image and video semantic segmentation." Applied Soft Computing 70 (2018): 41-65.

https://www.sciencedirect.com/science/article/pii/S1568494618302813

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A 2019 Guide to Semantic Segmentation - Heartbeat
https://heartbeat.fritz.ai/a-2019-guide-to-semantic-segmentation-ca8242f5a7fc

Semantic Segmentation _ Zhang Bin's Blog
https://zhangbin0917.github.io/2018/09/18/Semantic-Segmentation/

GitHub - mrgloom_awesome-semantic-segmentation  awesome-semantic-segmentation
https://github.com/mrgloom/awesome-semantic-segmentation

GitHub - GeorgeSeif_Semantic-Segmentation-Suite  Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
https://github.com/GeorgeSeif/Semantic-Segmentation-Suite

An overview of semantic image segmentation
https://www.jeremyjordan.me/semantic-segmentation/

Semantic Segmentation with Deep Learning – Towards Data Science
https://towardsdatascience.com/semantic-segmentation-with-deep-learning-a-guide-and-code-e52fc8958823

Semantic Segmentation using Fully Convolutional Networks over the years
https://meetshah1995.github.io/semantic-segmentation/deep-learning/pytorch/visdom/2017/06/01/semantic-segmentation-over-the-years.html

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A 2017 Guide to Semantic Segmentation with Deep Learning
http://blog.qure.ai/notes/semantic-segmentation-deep-learning-review 

速記AI課程－Convolutional Neural Networks for Computer Vision Applications（二）
https://medium.com/@baubibi/%E9%80%9F%E8%A8%98ai%E8%AA%B2%E7%A8%8B-convolutional-neural-networks-for-computer-vision-applications-%E4%BA%8C-d5fbb995ffd7

从全卷积网络到大型卷积核：深度学习的语义分割全指南 _ 机器之心
https://www.jiqizhixin.com/articles/2017-07-14-10

Going beyond the bounding box with semantic segmentation
https://www.jiqizhixin.com/articles/2018-06-04-17

一文了解什么是语义分割及常用的语义分割方法有哪些 _ 机器之心
https://www.jiqizhixin.com/articles/2018-06-04-17

深度学习（十九）——FCN, SegNet, DeconvNet, DeepLab, ENet, GCN - antkillerfarm的专栏 - CSDN博客
https://blog.csdn.net/antkillerfarm/article/details/79524417

语义分割 _ 发展综述 - 知乎
https://zhuanlan.zhihu.com/p/37618829

BlitzNet

BlitzNet

2019/11/18

前言：

有別於 RefineNet 與 PSPNet，BlitzNet 採取 DSSD 的架構，著重於速度。但 RefineNet 分別有 RefineNet-LW 輕量化與 RefineNet-AA 輕量化加上景深預測，而 PSPNet 之後則有 ICNet、BiSeNet 與 Fast-SCNN 的快速模型提出，因此 BlitzNet 的重要性已減低。

-----

# BlitzNet

-----

# DSSD

-----

# BlitzNet

-----

# BlitzNet

-----

# BlitzNet

-----

References

# BlitzNet

Dvornik, Nikita, et al. "Blitznet: A real-time deep network for scene understanding." Proceedings of the IEEE international conference on computer vision. 2017.

http://openaccess.thecvf.com/content_ICCV_2017/papers/Dvornik_BlitzNet_A_Real-Time_ICCV_2017_paper.pdf

# DSSD

Fu, Cheng-Yang, et al. "Dssd: Deconvolutional single shot detector." arXiv preprint arXiv:1701.06659 (2017).

https://arxiv.org/pdf/1701.06659.pdf 

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BlitzNet A Real-Time Deep Network for Scene Understanding - ALISURE
https://alisure.github.io/2018/03/27/Paper/Semantic-Segmentation-BlitzNet/