Rana, S., & Gatti, M. Comparative Evaluation of Modified Wasserstein GAN-GP and State-of-the-Art GAN Models for Synthesizing Agricultural Weed Images in RGB and Infrared Domain. Elsevier.
Chicago Style (17th ed.) CitationRana, Shubham, and Matteo Gatti. Comparative Evaluation of Modified Wasserstein GAN-GP and State-of-the-Art GAN Models for Synthesizing Agricultural Weed Images in RGB and Infrared Domain. Elsevier.
MLA (9th ed.) CitationRana, Shubham, and Matteo Gatti. Comparative Evaluation of Modified Wasserstein GAN-GP and State-of-the-Art GAN Models for Synthesizing Agricultural Weed Images in RGB and Infrared Domain. Elsevier.
Warning: These citations may not always be 100% accurate.