例如,Mnist的一张图片大小为784维,将图片放到Encoder中进行压缩,编码code使得维度小于784维度,之后可以将code放进Decoder中进行重建,可以产生同之前相似的图片。 Encoder和Decoder需要一起进行训练。 输入同样是一张图片,通过选择W,找到数据的主特征向量,压缩图片得到code,然后使用W的转置,恢复图片。 我们知道,PCA对数据...
class EncoderDecoder(Model): def __init__(self, encoder, decoder, activation): super().__init__() self.encoder = encoder self.decoder = decoder if callable(activation) or activation is None: self.activation = activation elif activation == 'softmax': self.activation = nn.Softmax(dim=1)...
Prompt and accurate diagnosis, followed by timely treatment, is crucial to prevent further complications.This study proposes a method for segmenting computed tomography (CT) images based on an encoder-decoder structure. Specifically, we use an encoder to down-sample the image to extract coarse-...
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentationhttps://arxiv.org/abs/1511.00561 U-Net: Convolutional Networks for Biomedical Image Segmentationhttps://arxiv.org/abs/1505.04597 Unet_nested: Unet++: A Nested U-Net Architecture for Medical Image Segmentationhttps://arxiv...
Name Last commit message Last commit date Latest commit Cannot retrieve latest commit at this time. History 9 Commits sam2 sam2_configs .gitattributes LICENSE README.md SAM2UNet.py dataset.py eval.py eval.sh requirements.txt sam2unet.jpg ...
In this paper, we propose a deep architecture for semantic segmentation from scratch based on an asymmetry encoder- decoder architecture using Ghost-Net and U-Net which we have called it Ghost-UNet. This model can be used for precise segmentation using a combination of low-level spatial ...
The decoder uses Conv2DTranspose to perform progressive up-sampling and uses convolution operation to aggregate the decoder information after up-sampling and the encoder information through skip connection. The proposed model evaluates the TipDM Cup rectal cancer dataset and the melanoma dermoscopic image...
Due to some rounding problem in the decoder path (not a bug, this is a feature 😏), the input shape should be divisible by 32. e.g. 224x224 is a suitable size for input images, but 225x225 is not.Potential issuesIf you are unable to load the model from the saved HDF5 file, ...
master BranchesTags Code Folders and files Latest commit images utils Image_Inpainting_Autoencoder_Decoder_v2_0.ipynb Image_Inpainting_Autoencoder_decoder_approach.ipynb Image_Inpainting_Partial_Convolution.ipynb README.md Introduction to image inpainting with deep learning ...