4 papers
Does Explainability Transfer? A Controlled Benchmark of Attribution Methods on Vision Transformers and CNNs
Sathiyamohan Nishankar, Nethmi Pathirana, Pubudu Sanjeewani +2
Most evidence on the effectiveness of explainable artificial intelligence (XAI) attribution methods has been established on convolutional neural networks (CNNs), with limited inves…
UtVAA: Ultra-tiny Vision Transformer with Affix Attention for Mobile Image Classification
Romiyal George, Sathiyamohan Nishankar, Selvarajah Thuseethan +1
Vision Transformers (ViTs) have demonstrated strong representation capability in image classification. However, their quadratic self-attention complexity and large parameter counts…
U-FedTomAtt: Ultra-lightweight Federated Learning with Attention for Tomato Disease Recognition
Romiyal George, Sathiyamohan Nishankar, Selvarajah Thuseethan +4
Federated learning has emerged as a privacy-preserving and efficient approach for deploying intelligent agricultural solutions. Accurate edge-based diagnosis across geographically…
ARIONet: An Advanced Self-supervised Contrastive Representation Network for Birdsong Classification and Future Frame Prediction
Md. Abdur Rahman, Selvarajah Thuseethan, Kheng Cher Yeo +2
Automated birdsong classification is essential for advancing ecological monitoring and biodiversity studies. Despite recent progress, existing methods often depend heavily on label…