75 citations · 144 across the 19 of their papers we have counts for
4 papers · 1 filter
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…
Compact retail shelf segmentation for mobile deployment
Pratyush Kumar, Muktabh Mayank Srivastava
The recent surge of automation in the retail industries has rapidly increased demand for applying deep learning models on mobile devices. To make the deep learning models real-time…
Bag of Tricks for Retail Product Image Classification
Muktabh Mayank Srivastava
Retail Product Image Classification is an important Computer Vision and Machine Learning problem for building real world systems like self-checkout stores and automated retail exec…
Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection
Srikrishna Varadarajan, Sonaal Kant, Muktabh Mayank Srivastava
Object detection in densely packed scenes is a new area where standard object detectors fail to train well. Dense object detectors like RetinaNet trained on large and dense dataset…