v1v2 (latest)

Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching

29 May 2023

Shengyuan Pang

Papers citing "Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching"

37 / 37 papers shown

Title
Loss-Curvature Matching for Dataset Selection and Condensation Seung-Jae Shin Heesun Bae DongHyeok Shin Weonyoung Joo Il-Chul Moon DD 89 27 0 08 Mar 2023
Accelerating Dataset Distillation via Model Augmentation Lei Zhang Jie M. Zhang Bowen Lei Subhabrata Mukherjee Xiang Pan Bo Zhao Caiwen Ding Yongbin Li Dongkuan Xu DD 110 65 0 12 Dec 2022
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation Jiawei Du Yiding Jiang Vincent Y. F. Tan Qiufeng Wang Haizhou Li DD 83 119 0 20 Nov 2022
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 82 43 0 29 Sep 2022
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments Rui Song Dai Liu Da Chen Andreas Festag Carsten Trinitis Martin Schulz Alois C. Knoll DD FedML 91 66 0 24 Aug 2022
Delving into Effective Gradient Matching for Dataset Condensation Zixuan Jiang Jiaqi Gu Mingjie Liu David Z. Pan DD 69 41 0 30 Jul 2022
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation G. Nam Hyungi Lee Byeongho Heo Juho Lee UQCV FedML 55 7 0 30 Jun 2022
Graph Condensation via Receptive Field Distribution Matching Mengyang Liu Shanchuan Li Xinshi Chen Le Song DD 125 53 0 28 Jun 2022
Sample Condensation in Online Continual Learning Mattia Sangermano Antonio Carta Andrea Cossu D. Bacciu DD 64 43 0 23 Jun 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim Jinuk Kim Seong Joon Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song DD 491 168 0 30 May 2022
FedSynth: Gradient Compression via Synthetic Data in Federated Learning Shengyuan Hu Jack Goetz Kshitiz Malik Hongyuan Zhan Zhe Liu Yue Liu DD FedML 89 40 0 04 Apr 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 185 395 0 22 Mar 2022
Deep Hash Distillation for Image Retrieval Young Kyun Jang Geonmo Gu ByungSoo Ko Isaac Kang N. Cho 85 35 0 16 Dec 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 105 162 0 14 Oct 2021
Dataset Condensation with Distribution Matching Bo Zhao Hakan Bilen DD 77 308 0 08 Oct 2021
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective Jiun Tian Hoe KamWoh Ng Tianyu Zhang Chee Seng Chan Yi-Zhe Song Tao Xiang MQ 76 110 0 29 Sep 2021
Dataset Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 98 236 0 27 Jul 2021
Soft-Label Anonymous Gastric X-ray Image Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 148 55 0 07 Apr 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao Hakan Bilen DD 263 303 0 16 Feb 2021
A Decade Survey of Content Based Image Retrieval using Deep Learning S. Dubey VLM BDL 61 220 0 23 Nov 2020
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 156 246 0 30 Oct 2020
Flexible Dataset Distillation: Learn Labels Instead of Images Ondrej Bohdal Yongxin Yang Timothy M. Hospedales DD 85 110 0 15 Jun 2020
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 118 503 0 10 Jun 2020
Reducing catastrophic forgetting with learning on synthetic data Wojciech Masarczyk Ivona Tautkute DD 55 36 0 29 Apr 2020
Deep Multi-View Enhancement Hashing for Image Retrieval C. Yan Biao Gong Yuxuan Wei Yue Gao 65 367 0 01 Feb 2020
Soft-Label Dataset Distillation and Text Dataset Distillation Ilia Sucholutsky Matthias Schonlau DD 139 135 0 06 Oct 2019
Central Similarity Quantization for Efficient Image and Video Retrieval Li-xin Yuan Tao Wang Xiaopeng Zhang Francis E. H. Tay Zequn Jie Wei Liu Jiashi Feng 76 284 0 01 Aug 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 128 741 0 12 Dec 2018
Empirical Analysis of the Hessian of Over-Parametrized Neural Networks Levent Sagun Utku Evci V. U. Güney Yann N. Dauphin Léon Bottou 56 418 0 14 Jun 2017
Deep Supervised Discrete Hashing Qi Li Zhenan Sun Ran He Tieniu Tan 69 299 0 31 May 2017
HashNet: Deep Learning to Hash by Continuation Zhangjie Cao Mingsheng Long Jianmin Wang Philip S. Yu 77 619 0 02 Feb 2017
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 160 3,781 0 23 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 800 36,892 0 25 Aug 2016
A Survey on Learning to Hash Jingdong Wang Ting Zhang Jingkuan Song N. Sebe Heng Tao Shen 113 970 0 01 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,595 0 01 Sep 2014
Super-Samples from Kernel Herding Yutian Chen Max Welling Alex Smola 167 342 0 15 Mar 2012