
DTTR: Detecting Text with Transformers - IEEE Xplore
In this paper, we present a novel transformer-based model, named detecting text with transformers (DTTR), for scene text detection. In DTTR, a CNN backbone extracts local …
DTTR: Encoding and decoding monthly runoff prediction model …
2024年11月1日 · The DTTR model enhances its feature extraction and recognition capabilities through the fusion of DCRN and TAM during the embedding stage, resulting in higher …
GitHub - ahsdx/DTTR: A CNN-tranformer hybrid scene text …
DTTR is a CNN-transformer hybrid text detection moder, achieving 0.5% H-mean improvements and 20.0% faster in inference speed than the SOTA model with a backbone of ResNet-50 on …
ymy-k/DPText-DETR - GitHub
2022年7月12日 · To address these challenges, this paper proposes a concise Dynamic Point Text DEtection TRansformer network, termed DPText-DETR. In detail, DPText-DETR directly …
DTTR: Encoding and decoding monthly runoff prediction model …
This paper proposes a new forecasting model, Deep Convolutional Residual Network with Temporal Attention and Transformer (DTTR), which is innovatively embedded with a temporal …
What does DTTR stand for? - Abbreviations.com
Looking for the definition of DTTR? Find out what is the full meaning of DTTR on Abbreviations.com! 'Don't template the regulars' is one option -- get in to view more @ The …
DTTR:基于深度时间注意力卷积和多模态融合的月径流预测模型 …
本文提出了一种新的预测模型——Deep Convolutional Residual Network with Temporal Attention and Transformer(DTTR),创新性地嵌入了时间注意力深度卷积网络,形成多模态融合的“编 …
DTTR - Definition by AcronymFinder
What does DTTR stand for? DTTR abbreviation. Define DTTR at AcronymFinder.com.
DTTR: Detecting Text with Transformers - ResearchGate
Download Citation | On Jun 4, 2023, Jing Yang and others published DTTR: Detecting Text with Transformers | Find, read and cite all the research you need on ResearchGate
DTTR: Encoding and decoding monthly runoff prediction model …
2024年11月1日 · This paper proposes DTTR for the runoff sequence prediction problem based on the Transformer architecture. We retain the traditional Transformer architecture species' multi …