Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach

1 March 2016

Papers citing "Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach"

9 / 9 papers shown

Title
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning L. P. Valem Daniel Carlos Guimarães Pedronette Longin Jan Latecki 21 5 0 24 Apr 2023
Deep Learning for Instance Retrieval: A Survey Wei Chen Yu Liu Weiping Wang E. Bakker Theodoros Georgiou Paul Fieguth Li Liu M. Lew VLM 15 145 0 27 Jan 2021
Understanding and Improving Kernel Local Descriptors Arun Mukundan Giorgos Tolias Andrei Bursuc Hervé Jégou Ondřej Chum 22 11 0 27 Nov 2018
IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network A. Bhunia P. Kishore Pranay Mukherjee P. Roy GAN 27 18 0 22 Nov 2018
Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images S. Deitsch Vincent Christlein S. Berger C. Buerhop‐Lutz Andreas Maier F. Gallwitz Christian Riess 29 356 0 08 Jul 2018
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds Zhi Gao Yuwei Wu Xingyuan Bu Yunde Jia 36 32 0 17 Nov 2017
Copy-move Forgery Detection based on Convolutional Kernel Network Yaqi Liu Qingxiao Guan Xianfeng Zhao 22 80 0 05 Jul 2017
Unsupervised Feature Learning for Writer Identification and Writer Retrieval Vincent Christlein Martin Gropp Stefan Fiel Andreas Maier SSL 24 86 0 25 May 2017
Embedding based on function approximation for large scale image search Thanh-Toan Do Ngai-man Cheung 25 40 0 23 May 2016