I am trying to keep record of research papers that I have read or trying to read so far.
| Research Papers | Link |
|---|---|
| ImageNet Classification with Deep Convolutional Neural Networks (AlexNet) | https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf |
| Very Deep Convolutional Networks for Large-scale Image Recognition(VGGNet) | https://arxiv.org/pdf/1409.1556.pdf |
| Going Deeper with Convolutions (GoogLeNet) | https://arxiv.org/abs/1409.4842 |
| Rich feature hierarchies for accurate object detection and semantic segmentation (R-CNN) | https://arxiv.org/abs/1311.2524 |
| U-Net: Convolutional Networks for Biomedical Image Segmentation | https://arxiv.org/abs/1505.04597 |
| A Neural Algorithm of Artistic Style | https://arxiv.org/abs/1508.06576 |
| Generative Adversarial Networks | https://arxiv.org/abs/1406.2661 |
| Conditional Generative Adversarial Nets | https://arxiv.org/abs/1411.1784 |
| Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (DCGAN) | https://arxiv.org/abs/1511.06434 |
| Image-to-Image Translation with Conditional Adversarial Networks (pix2pix) | https://arxiv.org/abs/1611.07004 |
| Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (CycleGAN) | https://arxiv.org/abs/1703.10593 |
| MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications | https://arxiv.org/abs/1704.04861 |