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Semantic Map Injected GAN Training for Image-to-Image Translation
Balaram Singh Kshatriya, Shiv Ram Dubey, Himangshu Sarma +4
Image-to-image translation is the recent trend to transform images from one domain to another domain using generative adversarial network (GAN). The existing GAN models perform the…
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri
Neural networks have shown tremendous growth in recent years to solve numerous problems. Various types of neural networks have been introduced to deal with different types of probl…
Vision Transformer Hashing for Image Retrieval
Shiv Ram Dubey, Satish Kumar Singh, Wei-Ta Chu
Deep learning has shown a tremendous growth in hashing techniques for image retrieval. Recently, Transformer has emerged as a new architecture by utilizing self-attention without c…
Frequency Disentangled Residual Network
Satya Rajendra Singh, Roshan Reddy Yedla, Shiv Ram Dubey +2
Residual networks (ResNets) have been utilized for various computer vision and image processing applications. The residual connection improves the training of the network with bett…
AdaInject: Injection Based Adaptive Gradient Descent Optimizers for Convolutional Neural Networks
Shiv Ram Dubey, S. H. Shabbeer Basha, Satish Kumar Singh +1
The convolutional neural networks (CNNs) are generally trained using stochastic gradient descent (SGD) based optimization techniques. The existing SGD optimizers generally suffer w…
Efficient High-Resolution Image-to-Image Translation using Multi-Scale Gradient U-Net
Kumarapu Laxman, Shiv Ram Dubey, Baddam Kalyan +1
Recently, Conditional Generative Adversarial Network (Conditional GAN) have shown very promising performance in several image-to-image translation applications. However, the uses o…
Joint Triplet Autoencoder for Histopathological Colon Cancer Nuclei Retrieval
Satya Rajendra Singh, Shiv Ram Dubey, Shruthi MS +2
Deep learning has shown a great improvement in the performance of visual tasks. Image retrieval is the task of extracting the visually similar images from a database for a query im…
AC-CovidNet: Attention Guided Contrastive CNN for Recognition of Covid-19 in Chest X-Ray Images
Anirudh Ambati, Shiv Ram Dubey
Covid-19 global pandemic continues to devastate health care systems across the world. At present, the Covid-19 testing is costly and time-consuming. Chest X-Ray (CXR) testing can b…
AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
S. K. Roy, M. E. Paoletti, J. M. Haut +4
Convolutional neural networks (CNNs) are trained using stochastic gradient descent (SGD)-based optimizers. Recently, the adaptive moment estimation (Adam) optimizer has become very…
Deep Model Compression based on the Training History
S. H. Shabbeer Basha, Mohammad Farazuddin, Viswanath Pulabaigari +2
Deep Convolutional Neural Networks (DCNNs) have shown promising performances in several visual recognition problems which motivated the researchers to propose popular architectures…