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Non-Uniform Illumination Attack for Fooling Convolutional Neural Networks
Akshay Jain, Shiv Ram Dubey, Satish Kumar Singh +2
Convolutional Neural Networks (CNNs) have made remarkable strides; however, they remain susceptible to vulnerabilities, particularly in the face of minor image perturbations that h…
3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image Classification
Shyam Varahagiri, Aryaman Sinha, Shiv Ram Dubey +1
In recent years, Vision Transformers (ViTs) have shown promising classification performance over Convolutional Neural Networks (CNNs) due to their self-attention mechanism. Many re…
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation
Trinetra Devkatte, Shiv Ram Dubey, Satish Kumar Singh +1
Facial super-resolution/hallucination is an important area of research that seeks to enhance low-resolution facial images for a variety of applications. While Generative Adversaria…
Transformer-based Clipped Contrastive Quantization Learning for Unsupervised Image Retrieval
Ayush Dubey, Shiv Ram Dubey, Satish Kumar Singh +1
Unsupervised image retrieval aims to learn the important visual characteristics without any given level to retrieve the similar images for a given query image. The Convolutional Ne…