Results 251 to 260 of about 1,582,815 (295)
Power and Phase Fusion Spectrogram with Three-Dimensional Convolution and Vision Transformer for Seizure Detection. [PDF]
Jiang Y, Wang Z, Zhao Y, Zhou W, Liu G.
europepmc +1 more source
Multi-Patient Vision Transformer for Markerless Tumor Motion Forecasting. [PDF]
Rotsart de Hertaing G, Manjah D, Macq B.
europepmc +1 more source
A Survey on Vision Transformer [PDF]
Transformer, first applied to the field of natural language processing, is a type of deep neural network mainly based on the self-attention mechanism. Thanks to its strong representation capabilities, researchers are looking at ways to apply transformer to computer vision tasks.
Xinghao Chen, Yunhe Wang, Jianyuan Guo
exaly +3 more sources
PVT v2: Improved Baselines With Pyramid Vision Transformer [PDF]
Transformer recently has presented encouraging progress in computer vision. In this work, we present new baselines by improving the original Pyramid Vision Transformer (PVT v1) by adding three designs, including (1) linear complexity attention layer, (2)
Enze Xie, Ding Liang, Wenhai Wang
exaly +2 more sources
Transformers in Vision: A Survey [PDF]
Astounding results from Transformer models on natural language tasks have intrigued the vision community to study their application to computer vision problems. Among their salient benefits, Transformers enable modeling long dependencies between input sequence elements and support parallel processing of sequence as compared to recurrent networks, e.g.,
Muzammal Naseer +2 more
exaly +5 more sources
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction Without Convolutions
Although convolutional neural networks (CNNs) have achieved great success in computer vision, this work investigates a simpler, convolution-free backbone network use-fid for many dense prediction tasks.
Enze Xie, Ding Liang, Wenhai Wang
exaly +2 more sources
Vision Transformers in Medical Computer Vision—A Contemplative Retrospection
Recent escalation in the field of computer vision underpins a huddle of algorithms with the magnificent potential to unravel the information contained within images. These computer vision algorithms are being practised in medical image analysis and are transfiguring the perception and interpretation of Imaging data.
Muhammad Moazam Fraz +1 more
exaly +4 more sources

