DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer

5 July 2017

Papers citing "DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer"

38 / 38 papers shown

Title
BackSlash: Rate Constrained Optimized Training of Large Language Models Jun Wu Jiangtao Wen Yuxing Han 39 0 0 23 Apr 2025
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks S. Joshi Jiayi Ni Baharan Mirzasoleiman DD 72 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 30 24 0 09 Sep 2024
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization Jixuan Leng Yijiang Li Haohan Wang VLM 34 0 0 26 Nov 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 21 16 0 08 Aug 2023
Cross Architecture Distillation for Face Recognition Weisong Zhao Xiangyu Zhu Zhixiang He Xiaoyu Zhang Zhen Lei CVBM 19 6 0 26 Jun 2023
Grouped Knowledge Distillation for Deep Face Recognition Weisong Zhao Xiangyu Zhu Kaiwen Guo Xiaoyu Zhang Zhen Lei CVBM 23 6 0 10 Apr 2023
Distillation from Heterogeneous Models for Top-K Recommendation SeongKu Kang Wonbin Kweon Dongha Lee Jianxun Lian Xing Xie Hwanjo Yu VLM 35 21 0 02 Mar 2023
BiBench: Benchmarking and Analyzing Network Binarization Haotong Qin Mingyuan Zhang Yifu Ding Aoyu Li Zhongang Cai Ziwei Liu Feng Yu Xianglong Liu MQ AAML 34 36 0 26 Jan 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 21 1 0 15 Jan 2023
Teacher-Student Architecture for Knowledge Learning: A Survey Chengming Hu Xuan Li Dan Liu Xi Chen Ju Wang Xue Liu 20 35 0 28 Oct 2022
Coded Residual Transform for Generalizable Deep Metric Learning Shichao Kan Yixiong Liang Min Li Yigang Cen Jianxin Wang Z. He 34 3 0 09 Oct 2022
Evaluation-oriented Knowledge Distillation for Deep Face Recognition Y. Huang Jiaxiang Wu Xingkun Xu Shouhong Ding CVBM 17 32 0 06 Jun 2022
Guided Deep Metric Learning Jorge Gonzalez-Zapata Iván Reyes-Amezcua Daniel Flores-Araiza M. Mendez-Ruiz G. Ochoa-Ruiz Andres Mendez-Vazquez FedML 32 5 0 04 Jun 2022
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task Maria Mahbub Sudarshan Srinivasan Edmon Begoli Gregory D. Peterson 19 11 0 26 Feb 2022
Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval Binjie Zhang Yixiao Ge Yantao Shen Yu Li Chun Yuan Xuyuan Xu Yexin Wang Ying Shan VLM 33 7 0 24 Jan 2022
STURE: Spatial-Temporal Mutual Representation Learning for Robust Data Association in Online Multi-Object Tracking Haidong Wang Zhiyong Li Yaping Li Ke Nai Ming Wen VOT 23 7 0 18 Jan 2022
Deep Spatially and Temporally Aware Similarity Computation for Road Network Constrained Trajectories Ziquan Fang Yuntao Du Xinjun Zhu Lu Chen Yunjun Gao Christian S. Jensen AI4TS 24 60 0 17 Dec 2021
Self-Regulation for Semantic Segmentation Zhangfu Dong Zhang Hanwang T. Jinhui Huang Xiansheng Sun Qianru 36 36 0 22 Aug 2021
Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation Zeqi Li R. Jiang P. Aarabi GAN VLM 33 28 0 30 Apr 2021
Content-Aware GAN Compression Yuchen Liu Zhixin Shu Yijun Li Zhe-nan Lin Federico Perazzi S. Kung GAN 35 58 0 06 Apr 2021
Fast Video Salient Object Detection via Spatiotemporal Knowledge Distillation Tang Yi Li Yuan Wenbin Zou 21 4 0 20 Oct 2020
Prime-Aware Adaptive Distillation Youcai Zhang Zhonghao Lan Yuchen Dai Fangao Zeng Yan Bai Jie Chang Yichen Wei 18 40 0 04 Aug 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 19 2,843 0 09 Jun 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 27 119 0 08 May 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 50 458 0 31 Mar 2020
GAN Compression: Efficient Architectures for Interactive Conditional GANs Muyang Li Ji Lin Yaoyao Ding Zhijian Liu Jun-Yan Zhu Song Han GAN 22 2 0 19 Mar 2020
Understanding and Improving Knowledge Distillation Jiaxi Tang Rakesh Shivanna Zhe Zhao Dong Lin Anima Singh Ed H. Chi Sagar Jain 27 129 0 10 Feb 2020
Interpretation and Simplification of Deep Forest Sangwon Kim Mira Jeong ByoungChul Ko FAtt 19 8 0 14 Jan 2020
Towards Oracle Knowledge Distillation with Neural Architecture Search Minsoo Kang Jonghwan Mun Bohyung Han FedML 30 43 0 29 Nov 2019
MobileFAN: Transferring Deep Hidden Representation for Face Alignment Yang Zhao Yifan Liu Chunhua Shen Yongsheng Gao Shengwu Xiong CVBM 27 39 0 11 Aug 2019
Distilling Object Detectors with Fine-grained Feature Imitation Tao Wang Li-xin Yuan Xiaopeng Zhang Jiashi Feng ObjD 13 377 0 09 Jun 2019
Structured Knowledge Distillation for Dense Prediction Yifan Liu Chris Liu Jingdong Wang Zhenbo Luo 27 575 0 11 Mar 2019
Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models Pengyuan Ren Jianmin Li 25 9 0 20 Nov 2018
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System Jiaxi Tang Ke Wang 27 182 0 19 Sep 2018
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary Byeongho Heo Minsik Lee Sangdoo Yun J. Choi AAML 26 146 0 15 May 2018
Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification Jianlou Si Honggang Zhang Chun-Guang Li Jason Kuen Xiangfei Kong Alex C. Kot G. Wang 16 464 0 27 Mar 2018
A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking M. Sarfraz Arne Schumann Andreas Eberle Rainer Stiefelhagen 49 493 0 28 Nov 2017