MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal
Retrieval

MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval

8 August 2017

Yuxin Peng

Papers citing "MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval"

17 / 17 papers shown

Title
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Nishant S. Gaikwad Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Christopher Mutschler Felix Ott 77 6 0 31 Dec 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning Nisha Lakshmana Raichur Lucas Heublein Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott CLL BDL 88 8 0 17 May 2024
Multimodal Deep Learning Cem Akkus Jiquan Ngiam Vladana Djakovic Steffen Jauch-Walser A. Khosla ... Jann Goschenhofer Honglak Lee A. Ng Daniel Schalk Matthias Aßenmacher 59 3,161 0 12 Jan 2023
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion Yang Wang 64 198 0 15 Jun 2020
Cross-modal Common Representation Learning by Hybrid Transfer Network Xin Huang Yuxin Peng Mingkuan Yuan 40 51 0 01 Jun 2017
Transitive Hashing Network for Heterogeneous Multimedia Retrieval Zhangjie Cao Mingsheng Long Qiang Yang 21 27 0 15 Aug 2016
Learning Aligned Cross-Modal Representations from Weakly Aligned Data Lluis Castrejon Y. Aytar Carl Vondrick Hamed Pirsiavash Antonio Torralba SSL DRL AI4TS 51 167 0 25 Jul 2016
Unsupervised Domain Adaptation with Residual Transfer Networks Mingsheng Long Hanjing Zhu Jianmin Wang Michael I. Jordan OOD 79 1,484 0 14 Feb 2016
Cross Modal Distillation for Supervision Transfer Saurabh Gupta Judy Hoffman Jitendra Malik 94 535 0 02 Jul 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 343 9,418 0 28 May 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 236 19,523 0 09 Mar 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 187 5,163 0 10 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 161 18,922 0 20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 923 99,991 0 04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 188 14,703 0 20 Jun 2014
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 545 31,406 0 16 Jan 2013
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics Yunchao Gong Qifa Ke Michael Isard Svetlana Lazebnik 3DV 116 584 0 18 Dec 2012