CHANT 发表于 2025-3-23 13:44:57
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FPNet: Deep Attention Network for Automated Floor Plan Analysis to recognize room boundaries and room types in CAD floor plans. We evaluate our network on multiple datasets. We perform quantitative analysis along three metrics - Overall accuracy, Mean accuracy, and Intersection over union (IoU) to evaluate the efficacy of our approach. We compare our approach w中古 发表于 2025-3-23 18:42:40
http://reply.papertrans.cn/29/2824/282318/282318_13.png相反放置 发表于 2025-3-23 23:07:44
http://reply.papertrans.cn/29/2824/282318/282318_14.pngoffense 发表于 2025-3-24 02:26:48
Can Pre-trained Language Models Help in Understanding Handwritten Symbols?lving a wide array of machine learning tasks in other modalities like images, audio, music, sketches and so on. These language models are domain-agnostic and as a result could be applied to 1-D sequences of any kind. However, the key challenge lies in bridging the modality gap so that they could genBATE 发表于 2025-3-24 07:50:45
http://reply.papertrans.cn/29/2824/282318/282318_16.pngALERT 发表于 2025-3-24 11:33:47
Breathing is to live, to smell and to feeldocuments, even in multilingual environments. These models require minimal training data and are a suitable solution for digitising libraries and archives. However, it is essential to note that the quality of the recognised text can be affected by the handwriting style.Distribution 发表于 2025-3-24 16:03:50
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http://reply.papertrans.cn/29/2824/282318/282318_19.pngpatella 发表于 2025-3-25 00:29:19
The Adaptability of a Transformer-Based OCR Model for Historical Documentsdocuments, even in multilingual environments. These models require minimal training data and are a suitable solution for digitising libraries and archives. However, it is essential to note that the quality of the recognised text can be affected by the handwriting style.