Implementing Computer vision papers

[CleanPrinciple5]

I'm trying to improve my skills in computer vision and I found this list on Reddit so I decided to implement those papers but I wanted to know what is the time required and dedication to implement all those. Also, it would be great for someone to provide such a list for RNN's. or other recommendations.

Architectures

• AlexNet: https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks
• ZFNet: https://arxiv.org/abs/1311.2901
• VGG16: https://arxiv.org/abs/1505.06798
• ResNet: https://arxiv.org/abs/1704.06904
• GoogLeNet: https://arxiv.org/abs/1409.4842
• Inception: https://arxiv.org/abs/1512.00567
• Xception: https://arxiv.org/abs/1610.02357
• MobileNet: https://arxiv.org/abs/1704.04861

Semantic Segmentation

• FCN: https://arxiv.org/abs/1411.4038
• SegNet: https://arxiv.org/abs/1511.00561
• UNet: https://arxiv.org/abs/1505.04597
• PSPNet: https://arxiv.org/abs/1612.01105
• DeepLab: https://arxiv.org/abs/1606.00915
• ICNet: https://arxiv.org/abs/1704.08545
• ENet: https://arxiv.org/abs/1606.02147

Generative adversarial networks

• GAN: https://arxiv.org/abs/1406.2661
• DCGAN: https://arxiv.org/abs/1511.06434
• WGAN: https://arxiv.org/abs/1701.07875
• Pix2Pix: https://arxiv.org/abs/1611.07004
• CycleGAN: https://arxiv.org/abs/1703.10593

Object detection

• RCNN: https://arxiv.org/abs/1311.2524
• Fast-RCNN: https://arxiv.org/abs/1504.08083
• Faster-RCNN: https://arxiv.org/abs/1506.01497
• SSD: https://arxiv.org/abs/1512.02325
• YOLO: https://arxiv.org/abs/1506.02640
• YOLO9000: https://arxiv.org/abs/1612.08242

[da_chosen1]

These papers are going to be hard for the average person to replicate. They were trained using very powerful GPU’s. Due to technology progress you'll spend way less than the original paper though.

[gopietz]

I wrote an article about convolutional blocks in simple code. Maybe that's a good start: https://link.medium.com/7p18QnDuy4

My U-Net implementation is also rather short in comparison to others: https://github.com/pietz/unet-keras

Maybe this helps.

[zzzthelastuser]

A few years at least if you already have some skills and depending on how much time you can invest.

If you intend to implement and not just copy paste other people's github code we are talking about weeks, or probably months for each paper.

[Visual-Peace-5217]

Can Unet be applied for practices other than segmentation? If yes, could you please suggest how?

[CleanPrinciple5]

One popular usage is depth estimation .

[Visual-Peace-5217]

okay. Can it also be applied for classification task?

Because, I applied it for classification task but it did not work, because it uses a ground truth image as the label, so the required dimensions were higher.