Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach

18 October 2022

Papers citing "Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach"

7 / 7 papers shown

Title
ABatRe-Sim: A Comprehensive Framework for Automated Battery Recycling Simulation Huanqing Wang Kaixiang Zhang Keyi Zhu Ziyou Song Zhaojian Li 28 1 0 14 Mar 2023
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 348 1,593 0 10 Nov 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 136 1,549 0 11 Jan 2021
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 83 764 0 13 Nov 2018
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 215 14,376 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 315 36,381 0 25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,217 0 01 Sep 2014