Possible Fallen images With Fallen now cited as a separate character in ‘Revenge of the Fallen’, it’s a good time to point out some mysterious shots found on Lining up TV, which claims to have on set images of The Fallen. Behind an old ...
To address the problems of low accuracy in fault diagnosis of oil-immersed transformers, poor state perception ability and real-time collaboration during diagnosis feedback, a fault diagnosis method for transformers based on the integration of digital twins is proposed. Firstly, fault sample balance ...
The Vision Transformer (ViT) leverages the Transformer’s encoder to capture global information by dividing images into patches and achieves superior performance across various computer vision tasks. However, the self-attention mechanism of ViT captures the global context from the outset, overlooking the...
Additionally, in computer vision, using transformers as a backbone encoder is beneficial due to their great capability of modeling long-range dependencies and capturing global context [14, 4]. Specifically, unlike the local formulation of convolutions, transformers encode images as a ...
Twins: Revisiting the Design of Spatial Attention in Vision Transformers-NIPs 2021-github HRFormer: High-Resolution Transformer for Dense Prediction-NIPs 2021-github SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers-NIPs 2021-github ...
Others dedicate to self-supervised learning or other modalities to dig the inherent structure in- formation of images themselves [4]. For supervised learn- ing, one path is to integrate convolution operations in Vision Transformers to increase their locality. An...
Courville, A benchmark for endoluminal scene segmentation of colonoscopy images, J. Healthc. Eng., vol. 2017, pp. 1–9, 2017. Crossref Google Scholar [15] T. Rahim, M. A. Usman, and S. Y. Shin, A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in...
Associate Profiles Editor Catherine Caruso joined theBiography.comstaff in August 2024, having previously worked as a freelance journalist for several years. She is a graduate of Syracuse University, where she studied English literature. When she’s not working on a new story, you can find her ...
The concept of an image watermark, which embeds information into images while remaining invisible, has inspired our approach [19]. Utilizing this technology, we can covertly embed triggers into training data using wavelet transformation to create an image watermark, thereby accomplishing data poisoning...
Using transformers to pro- cess such images would inevitably cause the problem of insufficient GPU memory and low computation efficiency. In this paper, we stand upon the intersection of CNNs and transformers, and propose a novel CMT (CNNs meet trans- formers) architecture f...