CV相关Paper研读进程记录

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)

Faster R-CNN Explained

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

A Simple Guide to the Versions of the Inception Network