它的性能大大超过了以前的技术水平,COCO上的box AP和mask AP分别为+2.7和+2.6,ADE20K上的性能为+3.2mIoU,这表明了基于Transformer的模型作为视觉backbone的潜力。也证明了分层设计和移位窗口方法对所有MLP体系结构都是有益的。 1.介绍 计算机视觉中的建模一直由卷积神经网络(CNN)主导。从AlexNet[39]及其在ImageNet图...
(192, 384, 768, 1536) DROP_PATH_RATE: 0.4 LANGUAGE_BACKBONE: FREEZE: False MODEL_TYPE: "bert-base-uncased" # "roberta-base", "clip" MASK_SPECIAL: False RPN: USE_FPN: True ANCHOR_SIZES: (64, 128, 256, 512, 1024) ANCHOR_STRIDE: (8, 16, 32, 64, 128) ASPECT_RATIOS: (1.0,)...
EpochsOfficial resultsPASSL resultsBackboneModelDocument MoCo 200 60.6 60.64 ResNet-50 download Train MoCo SimCLR 100 64.5 65.3 ResNet-50 download Train SimCLR MoCo v2 200 67.7 67.72 ResNet-50 download Train MoCo MoCo-BYOL 300 71.56 72.10 ResNet-50 download Train MoCo-BYOL BYOL 300 72.50 71.62...
如图1所示,整体方法是由两个编码来进行编码,教师网络ft 和学生网络 fs ,参数分别是 θt 和θs 。两个编码器都是Transformer的backbone和projection head组成。教师网络的编码器参数θt 是由学生网络的编码器参数 θs 来动态平均更新。更新公式如公式1所示: 其中:m是动量系数。 给定一个固定的教师网络 ft ,学生...
2021 年年中,微软发表了一款基于窗口移动(Shift Window)的Swin Transformer[4],窗口移动有点CNN的感觉又回来了,窗口移动能够促进相邻patch之间交互,也是个屠榜级的存在,文章自称可以作为Backbone,大家知道,Backbone都是史上留名的经典架构。 AE https://towardsdatascience.com/applied-deep-learning-part-3-autoencoder...
Breadcrumbs GLIP /configs /pretrain / glip_Swin_L.yamlTop File metadata and controls Code Blame 120 lines (102 loc) · 2.71 KB Raw MODEL: META_ARCHITECTURE: "GeneralizedVLRCNN" WEIGHT: "swin_large_patch4_window12_384_22k.pth" RPN_ONLY: True RPN_ARCHITECTURE: "VLDYHEAD" BACKBONE: CON...
docs knowledge maskrcnn_benchmark odinw tools .gitignore CODE_OF_CONDUCT.md DATA.md LICENSE README.md SECURITY.md SUPPORT.md setup.py Breadcrumbs GLIP /configs /pretrain / glip_Swin_L.yaml Latest commit Cannot retrieve latest commit at this time. ...