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10/07/2021
Machine Learning approaches to do size based reasoning on Retail Shelf objects to classify product variants
There has been a surge in the number of Machine Learning methods to anal...
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10/07/2021
Using Keypoint Matching and Interactive Self Attention Network to verify Retail POSMs
Point of Sale Materials(POSM) are the merchandising and decoration items...
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10/07/2021
Using Contrastive Learning and Pseudolabels to learn representations for Retail Product Image Classification
Retail product Image classification problems are often few shot classifi...
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10/05/2021
Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets
The problem statement addressed in this work is : For a public sentiment...
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07/05/2021
Semi-supervised Learning for Dense Object Detection in Retail Scenes
Retail scenes usually contain densely packed high number of objects in e...
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11/23/2020
Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models
When performing Polarity Detection for different words in a sentence, we...
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04/27/2020
Compact retail shelf segmentation for mobile deployment
The recent surge of automation in the retail industries has rapidly incr...
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01/12/2020
Bag of Tricks for Retail Product Image Classification
Retail Product Image Classification is an important Computer Vision and ...
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12/19/2019
Benchmark for Generic Product Detection: A strong baseline for Dense Object Detection
Object detection in densely packed scenes is a new area where standard o...
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01/12/2019
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data
Continuous Speech Keyword Spotting (CSKS) is the problem of spotting key...
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08/22/2018
Multidomain Document Layout Understanding using Few Shot Object Detection
We try to address the problem of document layout understanding using a s...
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07/24/2018
Example Mining for Incremental Learning in Medical Imaging
Incremental Learning is well known machine learning approach wherein the...
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05/03/2018
Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection
In this paper, we describe the system submitted for the SemEval 2018 Tas...
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03/19/2018
Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset
We propose a weakly supervised method using two algorithms to predict ob...
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01/22/2018
Towards Automated Tuberculosis detection using Deep Learning
Tuberculosis(TB) in India is the world's largest TB epidemic. TB leads t...
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12/16/2017
Train Once, Test Anywhere: Zero-Shot Learning for Text Classification
Zero-shot Learners are models capable of predicting unseen classes. In t...
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12/09/2017
Visual aesthetic analysis using deep neural network: model and techniques to increase accuracy without transfer learning
We train a deep Convolutional Neural Network (CNN) from scratch for visu...
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11/23/2017
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs
Chest X-ray is one of the most accessible medical imaging technique for ...
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11/20/2017
Detection of Tooth caries in Bitewing Radiographs using Deep Learning
We develop a Computer Aided Diagnosis (CAD) system, which enhances the p...
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10/25/2017
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks
This work is an endeavor to develop a deep learning methodology for auto...
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10/23/2017
Content Based Document Recommender using Deep Learning
With the recent advancements in information technology there has been a ...
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10/23/2017
Testing the limits of unsupervised learning for semantic similarity
Semantic Similarity between two sentences can be defined as a way to det...
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10/13/2017