2 citations · 5 across the 9 of their papers we have counts for
3 papers · 1 filter
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…
Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes
Anant Khandelwal, Happy Mittal, Shreyas Sunil Kulkarni +1
E-commerce websites (e.g. Amazon) have a plethora of structured and unstructured information (text and images) present on the product pages. Sellers often either don't label or mis…
Patch Gradient Descent: Training Neural Networks on Very Large Images
Deepak K. Gupta, Gowreesh Mago, Arnav Chavan +1
Traditional CNN models are trained and tested on relatively low resolution images (<300 px), and cannot be directly operated on large-scale images due to compute and memory constra…