Results 321 to 330 of about 947,558 (364)

Automated defect classification and localization in sewer pipelines using hybrid ResNet50-Swin transformer and modified YOLOv8 on CCTV inspection images. [PDF]

Sci Rep
Goharinezhad S, Hadi A, Mirzaei S.
europepmc   +1 more source

Novel R-CNN and transformer models for pollution impacts and land cover changes around iconic heritage sites in developing countries: a case study. [PDF]

Sci Rep
Ghosh S, Ashok B, Agilandeeswari L, Prabukumar M, Rahaman A, Mathur A, Dubey AS, Purohit E, Gangadharan V.   +8 more
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A novel liver image classification network for accurate diagnosis of liver diseases. [PDF]

Sci Rep
He X, Wang X, Wang Y, Li H, Liu S, Wang J, Feng Y, Wang Q, Chen J.   +8 more
europepmc   +1 more source

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Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

ECCV Workshops, 2021
In the past few years, convolutional neural networks (CNNs) have achieved milestones in medical image analysis. Especially, the deep neural networks based on U-shaped architecture and skip-connections have been widely applied in a variety of medical ...
Hu Cao, Yueyue Wang, Jieneng Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, Manning Wang   +6 more
semanticscholar   +1 more source

Video Swin Transformer

Computer Vision and Pattern Recognition, 2021
The vision community is witnessing a modeling shift from CNNs to Transformers, where pure Transformer architectures have attained top accuracy on the major video recognition benchmarks. These video models are all built on Transformer layers that globally
Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu   +6 more
semanticscholar   +1 more source

CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

International Conference on Learning Representations
We present CogVideoX, a large-scale text-to-video generation model based on diffusion transformer, which can generate 10-second continuous videos aligned with text prompt, with a frame rate of 16 fps and resolution of 768 * 1360 pixels.
Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, Da Yin, Xiaotao Gu, Yuxuan Zhang, Weihan Wang, Yean Cheng, Ting Liu, Bin Xu, Yuxiao Dong, Jie Tang   +18 more
semanticscholar   +1 more source

Transforming the transformer

IEEE Spectrum, 2017
It would be hard to overstate the importance of transformers in our electrical networks. They’re literally everywhere: on poles and pads, in substations and on private property, on the ground and under it. There are probably dozens in your neighborhood alone. It’s hard to imagine a world without them. But my colleagues and I are doing just that.
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BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

International Conference on Information and Knowledge Management, 2019
Modeling users' dynamic preferences from their historical behaviors is challenging and crucial for recommendation systems. Previous methods employ sequential neural networks to encode users' historical interactions from left to right into hidden ...
Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang   +6 more
semanticscholar   +1 more source

The transformations of transformations

Language & Communication, 2000
Abstract Zellig S. Harris's original idea of transformations has been transformed (changed) several times in Chomsky's work. In this paper I shall explicate all these transformations (changes). I shall argue that, though their motivations are highly understandable, these transformations (changes) are not necessary for understanding the workings of ...
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Transformations

Patient Education and Counseling, 2017
A patient with a serious illness continually refuses, postpones or avoids treatment until a conversation reveals essential contextual factors which change the physician's point of view. Once attended to, the patient also changes her attitude.
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