Paper List

읽은 논문

<Core>

 

• Yoo CVPR 2015 AttentionNet : Aggregating Weak Directions for Accurate Object Detection
• He CVPR 2016 Deep Residual Learning for Image Recognition
• Haward 2017 MobileNets : Efficient Convolutional Neural Networks for Mobile Vision Applications
• ResNext

<Object Detection>

 

• Girshick CVPR 2014 R-CNN : Rich feature hierarchies for accurate object detection and semantic segmentation.
• He TPAMI 2015 Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
• Girshick ICCV 2015 Fast R-CNN
• Ren NIPS 2015 Faster R-CNN : Towards Real-Time Object Detection with Region Propsal Networks
• Liu ECCV 2016 SSD - Single Shot MultiBox Detector

 

<Segmentation>

 

• Long CVPR 2015 Fully Convolutional Networks for Semantic Segmentation 
• Noh ICCV 2015 Learning Deconvolution Network for Semantic Segmentation
• He 2017 Mask R-CNN

<Object Tracking>

• Detect and Track : Efficient Pose Estimation in Videos
• Visual Tracking with Fully Convolutional Networks

<Distilation>

• Distilling the knowledge in a neural network
• A Gift from Knowledge Distillation

<Pruning>

• Learning both weights and connects for efficient Neural network
• Pruning filters for efficient convnets

<Multi-task Learning>

• Facial Landmark Detection by Deep Multi-task Learning
• Cross-stitch Networks for Multi-task Learning
• An Overview of Multi-Task Learning in Deep Neural Networks

읽고 싶은 논문

<Core>

 

ShuffleNet

SqueezeNet

Mobile v2

 

<Object Detection>

Yolo

 

<Segmentation>

U-net