Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More

23 April 2019

Papers citing "Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More"

10 / 10 papers shown

Title
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Yuxiang Lu Shengcao Cao Yu-xiong Wang 43 1 0 18 Oct 2024
Curriculum Temperature for Knowledge Distillation Zheng Li Xiang Li Lingfeng Yang Borui Zhao Renjie Song Lei Luo Jun Yu Li Jian Yang 22 130 0 29 Nov 2022
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 14 120 0 24 Oct 2022
Factorizing Knowledge in Neural Networks Xingyi Yang Jingwen Ye Xinchao Wang MoMe 28 121 0 04 Jul 2022
Online Knowledge Distillation for Efficient Pose Estimation Zheng Li Jingwen Ye Mingli Song Ying Huang Zhigeng Pan 10 92 0 04 Aug 2021
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels Zunlei Feng Zhonghua Wang Xinchao Wang Xiuming Zhang Lechao Cheng Jie Lei Yuexuan Wang Mingli Song 12 13 0 01 Aug 2021
Heterogeneous Multi-task Learning with Expert Diversity Raquel Y. S. Aoki Frederick Tung Gabriel L. Oliveira MoE 20 22 0 20 Jun 2021
Learning Propagation Rules for Attribution Map Generation Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang FAtt 14 17 0 14 Oct 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 17 2,822 0 09 Jun 2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN Jingwen Ye Yixin Ji Xinchao Wang Xin Gao Mingli Song 11 53 0 20 Mar 2020