AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval

AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval

28 May 2024

Qingdong He

Jinlong Peng

Yabiao Wang

Chengjie Wang

Papers citing "AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval"

9 / 9 papers shown

Title
Correlation Verification for Image Retrieval Seongwon Lee Hongje Seong Suhyeon Lee Euntai Kim 54 48 0 04 Apr 2022
AdaFace: Quality Adaptive Margin for Face Recognition Minchul Kim Anil K. Jain Xiaoming Liu CVBM 103 406 0 03 Apr 2022
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features Min Yang Dongliang He M. Fan Baorong Shi Xuetong Xue Fu Li Errui Ding Jizhou Huang 74 95 0 06 Aug 2021
DFM: A Performance Baseline for Deep Feature Matching Ufuk Efe K. G. Ince A. Aydin Alatan 57 61 0 14 Jun 2021
MagFace: A Universal Representation for Face Recognition and Quality Assessment Qiang Meng Shichao Zhao Zhida Huang F. Zhou CVBM 66 490 0 11 Mar 2021
Learning and aggregating deep local descriptors for instance-level recognition Giorgos Tolias Tomás Jenícek Ondvrej Chum FedML 205 101 0 26 Jul 2020
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval Tobias Weyand A. Araújo Bingyi Cao Jack Sim 73 369 0 03 Apr 2020
Probabilistic Face Embeddings Yichun Shi Anil K. Jain CVBM 60 310 0 21 Apr 2019
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking Filip Radenovic Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum 49 379 0 29 Mar 2018