Poornima S. Thakur

According to our database, Poornima S. Thakur authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Vision transformer meets convolutional neural network for plant disease classification.

Poornima Singh Thakur, Shubhangi Chaturvedi, Pritee Khanna, Tanuja Sheorey, Aparajita Ojha

Ecol. Informatics, November, 2023

VGG-ICNN: A Lightweight CNN model for crop disease identification.

Poornima Singh Thakur, Tanuja Sheorey, Aparajita Ojha

Multim. Tools Appl., 2023

2022

Trends in vision-based machine learning techniques for plant disease identification: A systematic review.

Poornima Singh Thakur, Pritee Khanna, Tanuja Sheorey, Aparajita Ojha

Expert Syst. Appl., 2022

Explainable vision transformer enabled convolutional neural network for plant disease identification: PlantXViT.

Poornima Singh Thakur, Pritee Khanna, Tanuja Sheorey, Aparajita Ojha

CoRR, 2022

Attention Based Twin Convolutional Neural Network with Inception Blocks for Plant Disease Detection Using Wavelet Transform.

Poornima Singh Thakur, Pritee Khanna, Tanuja Sheorey, Aparajita Ojha

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Vision Transformer for Plant Disease Detection: PlantViT.

Poornima Singh Thakur, Pritee Khanna, Tanuja Sheorey, Aparajita Ojha

Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

Analysis of Loss Functions for Image Reconstruction Using Convolutional Autoencoder.

Nishant Khare, Poornima Singh Thakur, Pritee Khanna, Aparajita Ojha

Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2020

A Lightweight Multi-label Image Classification Model Based on Inception Module.

Shreya Jain, Poornima S. Thakur, Kusum Bharti, Pritee Khanna, Aparajita Ojha

Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020