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arXiv · 2205.04883

Identical Image Retrieval using Deep Learning

Sayan Nath·Nikhil Nayak
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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.

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Sayan Nath, Nikhil Nayak. 2022-05-10. Identical Image Retrieval using Deep Learning. https://arxiv.org/abs/2205.04883

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