Modern convolutional object detectors

Modern Convolutional
Object Detectors
Kwanghee Choi
Sogang Univ.

Contents
- Prior Knowledge
- Object Detection
- R-CNN
- History
- Meta-architectures
- Faster R-CNN
- R-FCN
- YOLO
- Object Detection Benchmarks
- Accuracy
- Time
- Memory

Prior Knowledge: Neural Network
Ref. Fei-Fei Li & Andrej Karpathy & Justin Johnson, CS231n: Convolutional Neural Networks for Visual Recognition, Stanford Univ.

Prior Knowledge: Convolution
Ref. Aaditya Prakash, One by One Convolution: counter-intuitively useful, iamaaditya.github.io/2016/03/one-by-one-convolution

Prior Knowledge: Convolutional Neural Network

Prior Knowledge: Classification vs. Regression
Ref. Cyrille Rossant, IPython Interactive Computing and Visualization Cookbook, Packt Publishing

Prior Knowledge: Computer Vision Tasks

Object Detection: Demo
Ref. Joseph Redmon, YOLO v2, https://www.youtube.com/watch?v=VOC3huqHrss

Object Detection: History
Ref. Sam Albanie, R-FCN: Region-based Fully Convolutional Networks, VGG Reading Group

R-CNN: Pipeline
Ref. Ross Girshick et al., Rich feature hierarchies for accurate object detection and semantic segmentation, arXiv:1311.2524v5 [cs.CV] 22 Oct 2014

R-CNN: Selective Search
Ref. J. R. R. Uijlings et al., Selective Search for Object Recognition, IJCV 2013

Object Detection: Meta-architectures
Ref. Jonathan Huang et al., Speed/accuracy trade-offs for modern convolutional object detectors, arXiv:1611.10012v3 [cs.CV] 25 Apr 2017

Faster R-CNN: Architecture
Ref. Shaoqing Ren et al., Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, arXiv:1506.01497v3 [cs.CV] 6 Jan 2016

Faster R-CNN: Region Proposal Network
Ref. Shaoqing Ren et al., Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, arXiv:1506.01497v3 [cs.CV] 6 Jan 2016

R-FCN: Architecture
Ref. Jifeng Dai et al., R-FCN: Object Detection via Region-based Fully Convolutional Network, arXiv:1605.06409v2 [cs.CV] 21 Jun 2016

R-FCN: Position-Sensitive Score Maps
Ref. Jifeng Dai et al., R-FCN: Object Detection via Region-based Fully Convolutional Network, arXiv:1605.06409v2 [cs.CV] 21 Jun 2016

YOLO: Architecture
Ref. Joseph Redmond et al., You Only Look Once: Unified, Real-Time Object Detection, arXiv:1506.02640v5 [cs.CV] 9 May 2016

YOLO: Regression Model
Ref. Joseph Redmond et al., You Only Look Once: Unified, Real-Time Object Detection, arXiv:1506.02640v5 [cs.CV] 9 May 2016

Object Detection Benchmarks: Accuracy

Object Detection Benchmarks: GPU Time

Object Detection Benchmarks: Memory Usage

Object Detection Benchmarks: Accuracy vs. Time

Welcome to the world where computer understands images.

Modern convolutional object detectors

More Related Content

Similar to Modern convolutional object detectors (20)

More from Kwanghee Choi (19)

Recently uploaded (20)

Modern convolutional object detectors