2 citations · 5 across the 8 of their papers we have counts for
8 papers
DMFNet: Dual-Backbone Multiscale Fusion Network for Urban Scene Classification
Anamitra Ghosh, Abhiroop Chatterjee, Susmita Ghosh
This article presents DMFNet, a dual-backbone multiscale feature fusion framework with residual feature propagation and spatial attention for remote sensing scene classification. E…
Improved Knowledge Distillation for Land-Use Image Classification
Arundhuti Sur, Abhiroop Chatterjee, Susmita Ghosh +1
In the present article, an improved Knowledge Distillation (KD) framework has been proposed for efficient compression of deep convolutional neural networks for land-use image class…
Revisiting Aerial Scene Classification on the AID Benchmark
Subhajeet Das, Susmita Ghosh, Abhiroop Chatterjee
Aerial images play a vital role in urban planning and environmental preservation, as they consist of various structures, representing different types of buildings, forests, mountai…
Learning Hyperspectral Images with Curated Text Prompts for Efficient Multimodal Alignment
Abhiroop Chatterjee, Susmita Ghosh
As data requirements continue to grow, efficient learning increasingly depends on the curation and distillation of high-value data rather than brute-force scaling of model sizes. I…
Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN
Susmita Ghosh, Abhiroop Chatterjee
The rapid spread of COVID-19 has necessitated efficient and accurate diagnostic methods. Computed Tomography (CT) scan images have emerged as a valuable tool for detecting the dise…
Introducing Feature Attention Module on Convolutional Neural Network for Diabetic Retinopathy Detection
Susmita Ghosh, Abhiroop Chatterjee
Diabetic retinopathy (DR) is a leading cause of blindness among diabetic patients. Deep learning models have shown promising results in automating the detection of DR. In the prese…
Transfer-Ensemble Learning based Deep Convolutional Neural Networks for Diabetic Retinopathy Classification
Susmita Ghosh, Abhiroop Chatterjee
This article aims to classify diabetic retinopathy (DR) disease into five different classes using an ensemble approach based on two popular pre-trained convolutional neural network…
T-Fusion Net: A Novel Deep Neural Network Augmented with Multiple Localizations based Spatial Attention Mechanisms for Covid-19 Detection
Susmita Ghosh, Abhiroop Chatterjee
In recent years, deep neural networks are yielding better performance in image classification tasks. However, the increasing complexity of datasets and the demand for improved perf…