论文概况 论文标题:Hard Patches Mining for Masked Image Modeling 录用信息:CVPR 2023 [arXiv] 代码开源:github.com/Haochen-Wang 今天介绍我们在自监督掩码学习(Masked Image Modeling)领域的一篇原创工作 HPM (Hard Patches Mining for Masked Image Modeling)
标题:SimMIM: a Simple Framework for Masked Image Modeling 作者:Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu (Tsinghua University, Microsoft Research Asia, Xi'an Jiaotong University) 发表:CVPR 2022 文章地址:arxiv.org/pdf/2111.0988 代码地址:github...
On Data Scaling in Masked Image Modeling发表时间:CVPR2023 作者及组织:Zhenda Xie, ZhengZhang, Hu Han等,来自清华,西安交大,微软亚洲研究院。 前言 本文验证SIMMIM无监督预训练方法,是否会出现与NLP类似的拓展法则现象。 1、结论 这篇论文做了大量的对比实验,因此,先说结论: 1)大模型在小数据上...
self.mask_patch_size = mask_patch_size self.model_patch_size = model_patch_size # 即4中的kernel = stride = 4 self.mask_ratio = mask_ratio assert self.input_size % self.mask_patch_size == 0 assert self.mask_patch_size % self.model_patch_size == 0 self.rand_size = self.input_s...
论文标题: Hard Patches Mining for Masked Image Modeling 录用信息: CVPR 2023, https://arxiv.org/abs/2304.05919 代码开源: https://github.com/Haochen-Wang409/HPM Introduction ▲ Figure 1. Comparison between conventional MIM pre-training paradigm and our proposed HPM. ...
基于Masked Image Modeling(MIM)的视觉预训练范式近来吸引了大量关注,具体来讲,MIM 首先随机 mask 输入图像的一部分,然后利用神经网络来预测被 mask 的部分。如何对被 mask 的部分进行表示一直以来是研究人员关注的热点,并没有一个定论,比如在 BEiT[2]中利用 DALL-E[3]的中间表示作为预测目标,在 MAE[4]中直接...
论文作者还没有讲解视频 邀请直播讲解We identify and overcome two key obstacles in extending the success of BERT-style pre-training, or the masked image modeling, to convolutional networks (convnets): (i) convolution operation cannot handle irregular, random-masked input images; (ii) the single-sc...
你好，我实现了BeitForMaskedImageModeling。它对于相同的pixel_values和bool_masked_pos返回与原始实现...
论文信息论文标题:MaskGAE: Masked Graph Modeling Meets Graph Autoencoders论文作者:Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian...论文来源:2022,arXiv论文地址:download 论文代码:download 1 IntroductionMAE 在图上的应用。2 Related work and Motivation2.1 ...