REMAP: Multi-layer entropy-guided pooling of dense CNN features for image retrieval

15 June 2019

Papers citing "REMAP: Multi-layer entropy-guided pooling of dense CNN features for image retrieval"

6 / 6 papers shown

Title
Content-Based Medical Image Retrieval with Opponent Class Adaptive Margin Loss Ş. Öztürk Emin Çelik Tolga Çukur MedIm 25 34 0 22 Nov 2022
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations Grégoire Mialon Randall Balestriero Yann LeCun 29 9 0 29 Sep 2022
Deep Learning for Instance Retrieval: A Survey Wei-Neng Chen Yu Liu Weiping Wang E. Bakker Theodoros Georgiou Paul Fieguth Li Liu M. Lew VLM 11 144 0 27 Jan 2021
Hyperdimensional computing as a framework for systematic aggregation of image descriptors Peer Neubert Stefan Schubert 24 47 0 19 Jan 2021
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval Shuhei Yokoo Kohei Ozaki E. Simo-Serra S. Iizuka 11 31 0 25 Mar 2020
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,947 0 15 Dec 2014