Segformer swin

swin-transformer 训练过程代码1,170FPS!YolactEdge:实时实例分割算法!ICRA 2021,Keras 搭建自己的Mask R-CNN实例分割平台(Bubbliiiing 深度学习 教程),【Swin Transformer 目标检测】-1. 课程内容介绍,【Swin Transformer 目标检测】——4. 数据集标注,Transformer 跨界CV,美团 ...
SegFormer [29] A lightweight efficient segmentation transformer model Low-level vision ... and Swin Transformer [20], and (ii) boosting the richness of visual features, including TNT [16], CPVT [17], DeepViT [19], and LocalViT [22]. We also briefly describe recent developments in visualizing feature maps of ViT models [23, 62, 63], which help.
Segformer can adapt to different inference time image size, other transformer based segmentation models like based on Swin transformer can't adapt to different sizes. Ultimately, an ensemble including only UNET with tf_efficientnet_b1 backbone and SEGFORMER -B1 performed best on the leaderboard.
Published as a conference paper at ICLR 2021 AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE Alexey Dosovitskiy;y, Lucas Beyer , Alexander Kolesnikov , Dirk Weissenborn , Xiaohua Zhai , Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby;y equal
Figure 3: Swin -transformer Overlapping patches is a simple and general idea to improve ViT, especially for dense tasks (e.g. semantic segmentation).By exploiting overlapping regions/patch, PVT-v2 can obtain more local continuity of image representations. Convolution between fully connected layers (FC) eliminates the need for xed size positional.