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@article{155052,
        author = {Sayan Nath and Nikhil Nayak},
        title = {Identical Image Retrieval using Deep Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {12},
        pages = {1205-1211},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155052},
        abstract = {In recent years, we know that the interaction with images has increased. Image similarity involves fetching similar-looking images abiding by a given reference image. The target is to find out whether the image searched as a query can result in similar pictures. We are using the BigTransfer Model, which is a state-of-art model itself. BigTransfer(BiT) is essentially a ResNet but pre-trained on a larger dataset like ImageNet and ImageNet-21k with additional modifications. Using the fine-tuned pre-trained Convolution Neural Network Model, we extract the key features and train on the K-Nearest Neighbor model to obtain the nearest neighbor. The application of our model is to find similar images, which are hard to achieve through text queries within a low inference time. We analyse the benchmark of our model based on this application.},
        keywords = {Image Similarity Search, Computer Vision, Deep Learning, Transfer Learning, BigTransfer},
        month = {},
        }