kulkarnikeerti

SegNet-Semantic-Segmentation

Deep Convolutional Encoder-Decoder network for image segmentation

Image-to-image-translation-using-cGAN

Image to image translation using conditional generative adversarial network. It contains two parts generator and a discriminator. Generator is a U-net and discriminator is a patchGAN.

RCNN-A-Better-Model-for-Biological-Object-Recognition

Here I have used RCNN with Bottom-up(B), Lateral(L), and top-down(T) connections. Combining these three types of connections yield four architectures( B, BT, BL, BLT) and two extra BF and BK models also tested and evaluated. We hypothesize that Recurrent dynamics improve the recognition performance in challenging conditions.

AirSim

CVND_Exercises

Exercise notebooks for CVND.

DriveGAN_code

Code release for DriveGAN (CVPR 2021)

example-voting-app-kubernetes