Distilling and Transferring Knowledge via cGAN-generated Samples for
Image Classification and Regression

Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression

7 April 2021

Z. Jane Wang

William J. Welch

Papers citing "Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression"

7 / 7 papers shown

Title
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 58 1 0 05 Jun 2024
CCDM: Continuous Conditional Diffusion Models for Image Generation Xin Ding Member Ieee Yongwei Wang Kao Zhang F. I. Z. Jane Wang DiffM 19 3 0 06 May 2024
SSD-KD: A Self-supervised Diverse Knowledge Distillation Method for Lightweight Skin Lesion Classification Using Dermoscopic Images Yongwei Wang Yuheng Wang Tim K. Lee C. Miao Z. J. Wang 21 74 0 22 Mar 2022
Distilling Knowledge via Knowledge Review Pengguang Chen Shu-Lin Liu Hengshuang Zhao Jiaya Jia 149 420 0 19 Apr 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 282 10,354 0 12 Dec 2018
RenderGAN: Generating Realistic Labeled Data Leon Sixt Benjamin Wild Tim Landgraf GAN 158 176 0 04 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 244 3,190 0 30 Oct 2016