75 citations · 142 across the 15 of their papers we have counts for
23 papers
Machine Learning approaches to do size based reasoning on Retail Shelf objects to classify product variants
Muktabh Mayank Srivastava, Pratyush Kumar
There has been a surge in the number of Machine Learning methods to analyze products kept on retail shelves images. Deep learning based computer vision methods can be used to detec…
Using Keypoint Matching and Interactive Self Attention Network to verify Retail POSMs
Harshita Seth, Sonaal Kant, Muktabh Mayank Srivastava
Point of Sale Materials(POSM) are the merchandising and decoration items that are used by companies to communicate product information and offers in retail stores. POSMs are part o…
Using Contrastive Learning and Pseudolabels to learn representations for Retail Product Image Classification
Muktabh Mayank Srivastava
Retail product Image classification problems are often few shot classification problems, given retail product classes cannot have the type of variations across images like a cat or…
Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets
Natesh Reddy, Muktabh Mayank Srivastava
The problem statement addressed in this work is : For a public sentiment classification API, how can we set up a classifier that works well on different types of data, having limit…
Semi-supervised Learning for Dense Object Detection in Retail Scenes
Jaydeep Chauhan, Srikrishna Varadarajan, Muktabh Mayank Srivastava
Retail scenes usually contain densely packed high number of objects in each image. Standard object detection techniques use fully supervised training methodology. This is highly co…
Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models
Natesh Reddy, Pranaydeep Singh, Muktabh Mayank Srivastava
When performing Polarity Detection for different words in a sentence, we need to look at the words around to understand the sentiment. Massively pretrained language models like BER…