v1v2 (latest)

Learning Efficient Detector with Semi-supervised Adaptive Distillation

2 January 2019

ArXiv (abs)PDF HTML Github (59★)

Papers citing "Learning Efficient Detector with Semi-supervised Adaptive Distillation"

10 / 10 papers shown

Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning

584

31 May 2023

AMD: Adaptive Masked Distillation for Object DetectionIEEE International Joint Conference on Neural Network (IJCNN), 2023

Jun Li

131

31 Jan 2023

Dynamic Contrastive Distillation for Image-Text RetrievalIEEE transactions on multimedia (IEEE TMM), 2022

Liang Ding

Yang Liu

177

04 Jul 2022

Distillation from heterogeneous unlabeled collections

Jean-Michel Begon

Pierre Geurts

119

17 Jan 2022

Teacher's pet: understanding and mitigating biases in distillation

Michal Lukasik

Srinadh Bhojanapalli

A. Menon

Sanjiv Kumar

218

19 Jun 2021

WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection

178

21 May 2021

Distilling Object Detectors via Decoupled FeaturesComputer Vision and Pattern Recognition (CVPR), 2021

259

242

26 Mar 2021

Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff PerspectiveInternational Conference on Learning Representations (ICLR), 2021

367

201

01 Feb 2021

aw_nas: A Modularized and Extensible NAS framework

219

25 Nov 2020

Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation

Qun Liu

27 Mar 2019