Muktabh Mayank Srivastava
According to our database1,
Muktabh Mayank Srivastava
authored at least 27 papers
between 2017 and 2024.
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Bibliography
2024
RetailKLIP: Finetuning OpenCLIP Backbone Using Metric Learning on a Single GPU for Zero-Shot Retail Product Image Classification.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
2022
Using Contrastive Learning and Pseudolabels to Learn Representations for Retail Product Image Classification.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Using Keypoint Matching and Interactive Self Attention Network to Verify Retail POSMs.
Proceedings of the 2nd International Conference on Image Processing and Vision Engineering, 2022
2021
Machine Learning approaches to do size based reasoning on Retail Shelf objects to classify product variants.
CoRR, 2021
Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets.
CoRR, 2021
2020
Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models.
CoRR, 2020
Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
2019
Benchmark for Generic Product Detection: A strong baseline for Dense Object Detection.
CoRR, 2019
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting with Limited Training Data.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019
2018
PeerJ Prepr., 2018
CoRR, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018
RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scans.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset.
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
2017
Visual aesthetic analysis using deep neural network: model and techniques to increase accuracy without transfer learning.
CoRR, 2017
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks.
CoRR, 2017