PPT-Object detection, deep learning, and R-CNNs

Author : pamella-moone | Published Date : 2018-02-03

Ross Girshick Microsoft Research Guest lecture for UW CSE 455 Nov 24 2014 Outline Object detection the task evaluation datasets Convolutional Neural Networks CNNs

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Object detection, deep learning, and R-C..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Object detection, deep learning, and R-CNNs: Transcript

Ross Girshick Microsoft Research Guest lecture for UW CSE 455 Nov 24 2014 Outline Object detection the task evaluation datasets Convolutional Neural Networks CNNs overview and history Regionbased Convolutional Networks RCNNs. Sample. Johns Hopkins . Aging, . Brain Imaging. , and Cognition (ABC) . study. Phase 1: 215 adults Baltimore MD, random calling . Phase 2: 179 adults Baltimore and Hartford, random calling. All . participants underwent . Ning. Zhang. 1,2. . . Manohar. . Paluri. 1. . . Marć. Aurelio . Ranzato. . 1. . Trevor Darrell. 2. . . Lumbomir. . Boudev. 1. . 1. . Facebook AI Research . 2. . EECS, UC Berkeley. Ross Girshick. Microsoft Research. Guest lecture for UW CSE 455. Nov. 24, 2014. Outline. Object detection. the task, evaluation, datasets. Convolutional Neural Networks (CNNs). overview and history. Region-based Convolutional Networks (R-CNNs). Presenter: . Yanming. . Guo. Adviser: Dr. Michael S. Lew. Deep learning. Human. Computer. 1:4. Human . v.s. . Computer. Deep learning. Human. Computer. 1:4. Human . v.s. . Computer. Deep Learning. Why better?. Facebook AI Research. Wenchi. Ma. Data: 11/04/2016. More information from object detection. More information from object detection. More information from object detection. Object Detection for now with Deep Learning. Ross Girshick. Microsoft Research. Guest lecture for UW CSE 455. Nov. 24, 2014. Outline. Object detection. the task, evaluation, datasets. Convolutional Neural Networks (CNNs). overview and history. Region-based Convolutional Networks (R-CNNs). Google. Pierre. Sermanet,. Google. Dumitru. Erhan,. Google. Wei. Liu,. UNC. Yangqing. Jia,. Google. Scott. Reed,. University of Michigan. Dragomir. Anguelov,. Google. Vincent. Vanhoucke,. Google. Andrew. DistributedattackdetectionschemeusingdeeplearningapproachforInternetofThingsAbebeAbeshuDiro,NaveenChilamkurtiPII:S0167-739X(17)30848-8DOI:http://dx.doi.org/10.1016/j.future.2017.08.043Reference:FUTURE Li et al, 2018 . Outline. Background. Methods. Results. Background. Object . detection. : . classification. + . . localization. Classifcation. : . what. . is. the . object. ?. Localization. : . where. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand Presented by Aditi . Kuchi. Supervisor: . Dr.. Md . Tamjidul. Hoque. 1. Presentation Overview. Sand boils – What, How, Why +Motivation. Dataset. Methods used & explanations, discussion. Viola-Jones’ algorithm (. Yonggang Cui. 1. , Zoe N. Gastelum. 2. , Ray Ren. 1. , Michael R. Smith. 2. , . Yuewei. Lin. 1. , Maikael A. Thomas. 2. , . Shinjae. Yoo. 1. , Warren Stern. 1. 1 . Brookhaven National Laboratory, Upton, USA. Xindian. Long. 2018.09. Outline. Introduction. Object Detection Concept and the YOLO Algorithm. Object Detection Example (CAS Action). Facial Keypoint Detection Example (. DLPy. ). Why SAS Deep Learning .

Download Document

Here is the link to download the presentation.
"Object detection, deep learning, and R-CNNs"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.