DeepSeek-OCR: Images Simplify Text for Large Language Models

DeepSeek is experimenting with an OCR model and shows that compressed images are more memory-friendly for calculations on GPUs than many text tokens.
IEEE

Convolutional Encoder-Decoder Based Salient Object Detection

Abstract: Saliency detection has achieved outstanding performance by utilizing deep encoder-decoder networks. Many of the existing saliency approaches, however, are unable to effectively process ...
IEEE

SRS: Siamese Reconstruction-Segmentation Network Based on Dynamic-Parameter Convolution

Abstract: Dynamic convolution demonstrates outstanding representation capabilities, which are crucial for natural image segmentation. However, it fails when applied to medical image segmentation (MIS) ...
GitHub

convolutional-encoder-decoder

Add a description, image, and links to the convolutional-encoder-decoder topic page so that developers can more easily learn about it.
Frontiers

Oral Squamous Cell Carcinoma Grading Classification Using Deep Transformer Encoder Assisted Dilated Convolutional With Global Attention

The final, formatted version of the article will be published soon. In recent years, Oral Squamous Cell Carcinoma (OSCC) has been a common tumor in the orofacial region, affecting areas such as the ...
GitHub

Pull requests: subunits/Hyperkahler-Convolutional-Autoencoder

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.