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RefinerHash: a new hashing-based re-ranking technique for image retrieval
Re-ranking is a task of refining an initially ranked list of images obtained from an image
retrieval technique for a given query image, with the goal of enhancing retrieval performance …
retrieval technique for a given query image, with the goal of enhancing retrieval performance …
Perceptual image hashing using random forest for content-based image retrieval
Use of large image datasets has become a common occurrence. This, however, makes
image searching a highly desired operation in many applications. Most of the content-based …
image searching a highly desired operation in many applications. Most of the content-based …
Towards model-agnostic active learning in regression via identification of problem-intrinsic properties
D Panknin - 2023 - depositonce.tu-berlin.de
The recent advances of machine learning methods in scientific domains such as chemistry
and physics brought up data intensive inference problems, where the acquisition of labeled …
and physics brought up data intensive inference problems, where the acquisition of labeled …
Development of Deep Learning Techniques for Image Retrieval
S Farzad - 2023 - spectrum.library.concordia.ca
Images are used in many real-world applications, ranging from personal photo repositories
to medical imaging systems. Image retrieval is a process in which the images in the …
to medical imaging systems. Image retrieval is a process in which the images in the …