CUDA – enabled systems are required with 16GB storage for generating high quality art images. The proposed GAN-based Detection of Objects (GAN-DO) framework is not restricted to any particular architecture and can be generalized to several deep neural network (DNN) based architectures. The resulting deep neural network maintains the exact architecture as the selected baseline model without adding to the model parameter complexity or inference speed.
Smart Technology
B N M Institute of Technology
Generative Adversarial Network (GAN) based Art Generator for Object Detection and Categorization using Deep Learning
Project Team
Aakansha Tiwari,
Nallamalli Srilatha Chahna
Branch:
Information Science Engineering
Mentors
Dr.Laxmi V
B N M Institute of Technology