论文: Video Swin Transformer代码: Video-Swin-Transformer动机基于CNN的方法的潜力受到卷积算子感受野小的限制自注意力机制可以用更少的参数和更低的计算成本来扩大感受野,因此纯transformer网络在主流视频识…
论文:arxiv.org/pdf/2106.1323 code:github.com/SwinTransfor Swin Transformer 说起Video Swin Transformer,不得不提到Swin Transformer,在自己试过的利用Transformer进行图像任务的各个模型中(VIT、Deit、Swin Transformer等),Swin Transformer算是其中的佼佼者。个人以为Swin Transformer最大的特点是类似于cnn中conv + ...
由于Video Swin Transformer改编于Swin Transformer,因此Video Swin Transformer可以用在大型图像数据集上预训练的模型参数进行初始化。与Swin Transformer相比,Video Swin Transformer中只有两个模块具有不同的形状,分别为:线性embedding层和相对位置编码。 输入token在时间维度上变成了2,因此线性embedding层的形状从Swin Transf...
The locality of the proposed video architecture is realized by adapting the Swin Transformer designed for the image domain, while continuing to leverage the power of pre-trained image models. Our approach achieves state-of-the-art accuracy on a broad range of video recognition benchmarks, ...
The locality of the proposed video architecture is realized by adapting the Swin Transformer designed for the image domain, while continuing to leverage the power of pre-trained image models. Our approach achieves state-of-the-art accuracy on a broad range of video recognition benchmarks, ...
论文链接:https:///abs/2106.13230 项目链接:https://github.com/SwinTransformer/Video-Swin-Transformer 导言: 由于Transformer强大的建模能力,视觉任务的主流Backbone逐渐从CNN变成了Transformer,其中纯Transformer的结构也在各个视频任务的数据集上也达到了SOTA的性能。这些视频模型都是基于Transformer结构来捕获patch之间全局...
As our architecture is adapted from Swin Transformer, it can readily be initialized with a strong model pre-trained on a large-scale image dataset. With a model pre-trained on ImageNet-21K, we interestingly find that the learning rate of the backbone architecture needs to be smaller (e.g....
Short Description Video Swin Transformer is a pure transformer based video modeling algorithm, attained top accuracy on the major video recognition benchmarks. Papers https://arxiv.org/abs/2106.13230 published in 2021, Cited by 1154 (unt...
1. 首先运行:python tools/test.py configs/recognition/swin/swin_base_patch244_window877_kinetics400_1k.py model/swin_base_patch244_window877_kinetics400_1k.pth --eval top_k_accuracy 遇到错误:File &q... 查看原文 I3D阅读笔记 I3D阅读笔记 Paper:Quo Vadis, Action Recognition? A New Model ...
(16,7,7), drop_path_rate=0.4, patch_norm=True) # https://github.com/SwinTransformer/Video-Swin-Transformer/blob/master/configs/recognition/swin/swin_base_patch244_window1677_sthv2.py checkpoint = torch.load('./checkpoints/swin_base_patch244_window1677_sthv2.pth') new_state_dict = ...