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Restoring Vision in Rain-by-snow Weather with Simple Attention-based Sampling Cross-hierarchy Transformer

Due to the irregular shapes,various sizes and indistinguishable boundaries between the normal and infected tissues, it is still a challenging task to accurately segment the infected lesions of COVID-19 on CT images. In this paper, a novel segmentation scheme is proposed for the infections of COVI... Read more

Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.

WanVideo Integrated KSampler - K-sampler for video generation with integrated high/low noise stages,supports generating videos with start/end frames,automatic VRAM/RAM management, sage attention, block swapping, SD3 sampling / WanVideo视频集成采样器 - K采样器，视频生成采样器，高低噪集成，支持文生视频/图生视频模式，支持首尾帧生成视频，批量生成、自动显存... Read more

Mancs: A multi-task attentional network with curriculum sampling for person re-identification

[ICLR 2025] This repository contains the code to reproduce the results from our paper From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency.

Sentiment Analysis with Insights using NLP and Dash This project show the sentiment analysis of text data using NLP and Dash. I used Amazon reviews dataset to train the model and further scrap the reviews from Etsy.com in order to test my model. Prerequisites: Python3 Amazon Dataset (3.6GB) Anac... Read more