Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era

12 November 2020

Papers citing "Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era"

7 / 7 papers shown

Title
REMAP: Multi-layer entropy-guided pooling of dense CNN features for image retrieval S. Husain M. Bober 39 51 0 15 Jun 2019
MultiGrain: a unified image embedding for classes and instances Maxim Berman Hervé Jégou Andrea Vedaldi Iasonas Kokkinos Matthijs Douze 36 110 0 14 Feb 2019
Hierarchy-based Image Embeddings for Semantic Image Retrieval Björn Barz Joachim Denzler SSL 97 98 0 26 Sep 2018
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking Filip Radenovic Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum 43 376 0 29 Mar 2018
Fine-tuning CNN Image Retrieval with No Human Annotation Filip Radenovic Giorgos Tolias Ondřej Chum 60 1,294 0 03 Nov 2017
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 281 13,079 0 12 Mar 2015
Visual Instance Retrieval with Deep Convolutional Networks A. Razavian Josephine Sullivan S. Carlsson A. Maki 73 366 0 20 Dec 2014