2 citations · 3 across the 7 of their papers we have counts for
3 papers · 1 filter
GradAttn: Replacing Fixed Residual Connections with Task-Modulated Attention Pathways
Soudeep Ghoshal, Himanshu Buckchash
Deep ConvNets suffer from gradient signal degradation as network depth increases, limiting effective feature learning in complex architectures. ResNet addressed this through residu…
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems
Momojit Biswas, Himanshu Buckchash, Dilip K. Prasad
Nearest neighbor (NN) sampling provides more semantic variations than pre-defined transformations for self-supervised learning (SSL) based image recognition problems. However, its…
Latent Graph Attention for Enhanced Spatial Context
Ayush Singh, Yash Bhambhu, Himanshu Buckchash +2
Global contexts in images are quite valuable in image-to-image translation problems. Conventional attention-based and graph-based models capture the global context to a large exten…