接三个Stage,每次先经过Patch Merging下采样,在行方向和列方向上间隔2选取元素(对应Unet里的卷积用来降低分辨率),然后经过两个Swin Transformer块。但是代码里的实现并不是按照图示这样分割的,它是将Patch Partition,Linear Embedding放在了前面开头,然后以“两个Swin Transformer块+Patch Merging”作为一个BasicLayer,将Bo...
ST-UNet constitutes a novel dual encoder structure of the Swin transformer and CNN in parallel. First, we propose a spatial interaction module (SIM), which encodes spatial information in the Swin transformer block by establishing pixel-level correlation to enhance the feature representation ability ...
【简读】Swin Transformer V2: Scaling Up Capacity and Resolution ai2news.com/blog/31917/ 2021-11-19 【人-物交互检测 Transformer】HOTR: End-to-End Human-Object Interaction Detection with Transformers ai2news.com/blog/16627/ 2021-11-02 VT-UNet:用于精确 3D 肿瘤分割的Volumetric Transformer ai2new...
【简读】Swin Transformer V2: Scaling Up Capacity and Resolution ai2news.com/blog/31917/ 2021-11-19 【人-物交互检测 Transformer】HOTR: End-to-End Human-Object Interaction Detection with Transformers ai2news.com/blog/16627/ 2021-11-02 VT-UNet:用于精确 3D 肿瘤分割的Volumetric Transformer ai2new...
地表最强图神经网络竟然是transformer ai2news.com/blog/16747/ 2021-06-21 加性注意力机制、训练推理效率优于其他Transformer变体,这个Fastformer的确够快 ai2news.com/blog/22045/ 2021-08-30 Swin-UNet:基于纯 Transformer 结构的语义分割网络 ai2news.com/blog/18768/ 2021-07-27 Transformer-XL:像RNN一样用...
地表最强图神经网络竟然是transformer ai2news.com/blog/16747/ 2021-06-21 加性注意力机制、训练推理效率优于其他Transformer变体,这个Fastformer的确够快 ai2news.com/blog/22045/ 2021-08-30 Swin-UNet:基于纯 Transformer 结构的语义分割网络 ai2news.com/blog/18768/ 2021-07-27 Transformer-XL:像RNN一样用...
Unet和Swin-Unet都是语义分割模型,网络结构都是一个类似于U型的编码器-解码器结构。前者是2015年提出的经典模型,全使用了卷积/反卷积操作;后者将这些操作全部改为Transformer。 Unet 网络结构 左侧相当于编码器,右侧相当于解码器。左右各四个Stage。编码器进行四轮卷积(RELU)-池化操作,解码器进行四轮卷积-上采样操作...