Week 1 ( Dec 17 ~ 21, 2018)
Dec 17, Mon
CNN: An intuitive guide to Convolutional Neural Networks
Dec 18, Tue
Batch Normalization: Accelerating Deep Network Training b y Reducing Internal Covariate Shift (2015)
R-CNN: Rich feature hierarchies for accurate object detection and semantic segmentation (2013)
Dec 19, Wed
ResNet: Deep Residual Learning for Image Recognition (2015)
Fast R-CNN (2015)
Dec 20, Thur
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (2015)
SSPNet: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition (2014)
Dec 21, Fri
Fully Convolutional Networks for Semantic Segmentation (2017)
R-FCN: Object Detection via Region-based Fully Convolutional Networks (2016)
SSD: Single Shot MultiBox Detector (2016)
Week 2 ( Dec 24 ~ 29, 2018)
Dec 24, Mon
YOLO: You Only Look Once: Unified, Real-Time Object Detection (2015)
Speed/accuracy trade-offs for modern convolutional object detectors (2016)
Dec 25, Tue
Inception: Going Deeper with Convolutions (2014)
Inception V2 & V3: Rethinking the Inception Architecture for Computer Vision (2015)
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (2016)
ResNet, AlexNet, VGGNet, Inception: Understanding various architectures of Convolutional Networks
