Learning Metrics from Teachers: Compact Networks for Image Embedding

7 April 2019

Papers citing "Learning Metrics from Teachers: Compact Networks for Image Embedding"

21 / 21 papers shown

Title
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks S. Joshi Jiayi Ni Baharan Mirzasoleiman DD 75 2 0 03 Oct 2024
Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition Shiming Ge Kangkai Zhang Haolin Liu Yingying Hua Shengwei Zhao Xin Jin Hao Wen 36 24 0 09 Sep 2024
SnapCap: Efficient Snapshot Compressive Video Captioning Jianqiao Sun Yudi Su Hao Zhang Ziheng Cheng Zequn Zeng Zhengjue Wang Bo Chen Xin Yuan 37 1 0 10 Jan 2024
Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation Florinel-Alin Croitoru Nicolae-Cătălin Ristea D. Dascalescu Radu Tudor Ionescu Fahad Shahbaz Khan M. Shah 48 2 0 28 Nov 2022
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval Abhra Chaudhuri Massimiliano Mancini Yanbei Chen Zeynep Akata Anjan Dutta 26 5 0 19 Oct 2022
Coded Residual Transform for Generalizable Deep Metric Learning Shichao Kan Yixiong Liang Min Li Yigang Cen Jianxin Wang Z. He 36 3 0 09 Oct 2022
Utilizing Expert Features for Contrastive Learning of Time-Series Representations Manuel Nonnenmacher Lukas Oldenburg Ingo Steinwart David Reeb AI4TS 43 21 0 23 Jun 2022
Improving the Latent Space of Image Style Transfer Yun-Hao Bai Cairong Wang C. Yuan Yanbo Fan Jue Wang DRL 37 0 0 24 May 2022
Generalized Knowledge Distillation via Relationship Matching Han-Jia Ye Su Lu De-Chuan Zhan FedML 22 20 0 04 May 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 32 27 0 06 Apr 2022
Teacher-Student Training and Triplet Loss to Reduce the Effect of Drastic Face Occlusion Mariana-Iuliana Georgescu Georgian-Emilian Duta Radu Tudor Ionescu 3DH CVBM 30 19 0 20 Nov 2021
Distilling Object Detectors with Feature Richness Zhixing Du Rui Zhang Ming-Fang Chang Xishan Zhang Shaoli Liu Tianshi Chen Yunji Chen ObjD 21 74 0 01 Nov 2021
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning Yan Bai J. Jiao Shengsen Wu Yihang Lou Jun Liu Xuetao Feng Ling-yu Duan 26 7 0 06 Aug 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 30 84 0 25 Mar 2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 21 38 0 20 Mar 2021
Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion Mariana-Iuliana Georgescu Radu Tudor Ionescu CVBM 27 25 0 03 Aug 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 28 2,857 0 09 Jun 2020
Towards Efficient Unconstrained Palmprint Recognition via Deep Distillation Hashing Huikai Shao Dexing Zhong Xuefeng Du 35 9 0 07 Apr 2020
Unifying Specialist Image Embedding into Universal Image Embedding Yang Feng Futang Peng Xu-Yao Zhang Wei-wei Zhu Shanfeng Zhang Howard Zhou Zhen Li Tom Duerig Shih-Fu Chang Jiebo Luo SSL 32 5 0 08 Mar 2020
Knowledge Distillation for Incremental Learning in Semantic Segmentation Umberto Michieli Pietro Zanuttigh CLL VLM 28 98 0 08 Nov 2019
Knowledge Transfer Graph for Deep Collaborative Learning Soma Minami Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi 30 9 0 10 Sep 2019