3rd Place: A Global And Local Dual Retrieval Solution To Facebook AI Image Similarity Challenge
Written by on August 7, 2023
Therefore, a very intuitive thought is to directly use native features for retrieval, so as to improve the recall fee. It was proposed by David Lowe Escort in Delhi 1999 and summarized in 2004. The SIFT features are invariant to image scaling, translation, rotation and illumination modifications, so we choose it as a native characteristic for recall. In apply, we firstly resize a picture to a minimum edge of 300 pixels. And then generate some 128-dimensional vectors in uint8 type by SIFT. All SIFT features need about 165G GPU Memory for Float16 computing, so we run this course of on a 8GPUs (Tesla V100) machine. After acceleration, it should take about 1-2 seconds for one query image during native function recall. During retrieval, a query image can have multiple native options, every native characteristic will find the Top1 end result using L2 distance. The results of all points in a query image are finally counted at the reference image level. Then L2 distance threshold and the variety of matching points are used to evaluate the recall.
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To be able to answer this query, we arrange an experiment the place we measured the time between these two moments. The moment node u initiated including a listing into the network and the second a randomly chosen node v has received the same itemizing. To do so we set up four nodes and manually carried out the steps and measured the distinction between the sending time and receiving time between two nodes. We’ve got run this check one hundred occasions. Before we focus on the consequence, we first need to grasp the elements that may probably influence the measured time. When a new listing is created it does not necessarily imply it will be pushed into the community instantly. There’s a timer within each node regulating the frequency of pushing listings (including the newly created itemizing) into the community. The purpose of this design resolution is to stability the load in a bigger community. We call the sender node u and the receiver node v. Although this solely can be relevant in large networks, we determined to incorporate it on this experiment.
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