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OverFeat: Integrated Recognition, Localization and ...

arXiv:1312.6229v4 [cs.CV] 24 Feb 2014 OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks Pierre Sermanet David Eigen
arxiv.org/pdf/1312.6229.pdf

Object detection: an overview in the age of Deep …https://tryolabs.com/blog/2017/08/30/object-detection-an-overview...One of the computer vision problems we’re most interested in and have worked on a bunch is object detection. Read this article to learn more about practical object detection applications, its main issues as a machine learning problem and how the way to tackle it has been shifting with deep learning.

One of the computer vision problems we’re most interested in and have worked on a bunch is object detection. Read this article to learn more about practical object detection applications, its main issues as a machine learning problem and how the way to tackle it has been shifting with deep learning.
tryolabs.com/blog/2017/08/30/object-detection-an-o...

Tech report (v5) - arXiv

Rich feature hierarchies for accurate object detection and semantic segmentation Tech report (v5) Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik
arxiv.org/pdf/1311.2524.pdf

YOLO: Real-Time Object Detectionhttps://pjreddie.com/darknet/yolov2YOLO: Real-Time Object Detection. You only look once (YOLO) is a state-of-the-art, real-time object detection system. On a Titan X it processes images at 40-90 FPS and has a mAP on VOC 2007 of 78.6% and a mAP of 48.1% on COCO test-dev.

YOLO: Real-Time Object Detection. You only look once (YOLO) is a state-of-the-art, real-time object detection system. On a Titan X it processes images at 40-90 FPS and has a mAP on VOC 2007 of 78.6% and a mAP of 48.1% on COCO test-dev.
pjreddie.com/darknet/yolov2

ImageNet Large Scale Visual Recognition Competition …image-net.org/challenges/LSVRC/2013/results.phpTeam name: Comment: mean AP: Number of categories won (only valid submissions) Number of categories won (all submissions) UvA-Euvision: Run 2 (with prior)

Team name: Comment: mean AP: Number of categories won (only valid submissions) Number of categories won (all submissions) UvA-Euvision: Run 2 (with prior)
image-net.org/challenges/LSVRC/2013/results.php

一文带你读懂深度学习框架下的目标检测_36氪36kr.com/p/5095330.htmlTranslate this page从简单的图像分类到3D位置估算,在机器视觉领域里从来都不乏有趣的问题。其中我们最感兴趣的问题之一就是目标检测。 大数据文摘作品,编译:及子龙,张礼俊,余志文,钱天培。 从简单的图像分类到3D位置估算,在机器 ...

从简单的图像分类到3D位置估算,在机器视觉领域里从来都不乏有趣的问题。其中我们最感兴趣的问题之一就是目标检测。 大数据文摘作品,编译:及子龙,张礼俊,余志文,钱天培。 从简单的图像分类到3D位置估算,在机器 ...
36kr.com/p/5095330.html

Machine Learning – GPU Accelerated Applications |NVIDIAwww.nvidia.com › … › Industry ApplicationsMachine Learning. Data scientists in both industry and academia have been using GPUs for machine learning to make groundbreaking improvements across a variety of applications including image classification, video analytics, speech recognition and natural language processing.

Machine Learning. Data scientists in both industry and academia have been using GPUs for machine learning to make groundbreaking improvements across a variety of applications including image classification, video analytics, speech recognition and natural language processing.
Machine Learning – GPU Accelerated Applications |N...

Large Scale Visual Recognition Challenge 2014 ... - …www.image-net.org/challenges/LSVRC/2014/indexIntroduction History Data Tasks FAQ Development kit Timetable Citation new Organizers Sponsors Contact News. June 2, 2015: Additional announcement regarding submission server policy is released. May 19, 2015: Announcement regarding submission server policy is released. December 17, 2014: ILSVRC 2015 is announced. September 2, …

Introduction History Data Tasks FAQ Development kit Timetable Citation new Organizers Sponsors Contact News. June 2, 2015: Additional announcement regarding submission server policy is released. May 19, 2015: Announcement regarding submission server policy is released. December 17, 2014: ILSVRC 2015 is announced. September 2, …
www.image-net.org/challenges/LSVRC/2014/index