Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition

17 November 2019

Papers citing "Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition"

9 / 9 papers shown

Title
Local Foreground Selection aware Attentive Feature Reconstruction for few-shot fine-grained plant species classification Aisha Zulfiqar Ebroul Izquiedro 40 0 0 12 Jan 2025
Synthetic Data Augmentation Using GAN For Improved Automated Visual Inspection Jože M. Rožanec Patrik Zajec Spyros Theodoropoulos Erik Koehorst B. Fortuna Dunja Mladenić 10 8 0 19 Dec 2022
Delving Deep into One-Shot Skeleton-based Action Recognition with Diverse Occlusions Kunyu Peng Alina Roitberg Kailun Yang Jiaming Zhang Rainer Stiefelhagen ViT 21 28 0 23 Feb 2022
Fine-Grained Image Analysis with Deep Learning: A Survey Xiu-Shen Wei Yi-Zhe Song Oisin Mac Aodha Jianxin Wu Yuxin Peng Jinhui Tang Jian Yang Serge J. Belongie 71 279 0 11 Nov 2021
Repurposing GANs for One-shot Semantic Part Segmentation Nontawat Tritrong Pitchaporn Rewatbowornwong Supasorn Suwajanakorn 26 108 0 07 Mar 2021
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 186 351 0 12 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 167 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 323 11,681 0 09 Mar 2017
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 214 1,156 0 24 Oct 2016