historical-document-analysis

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anuj-rai-23 / PHOSC-Zero-Shot-Word-Recognition

Implementation of PHOSNet and Pho(SC)Net for Word Recognition in Historical Documents. Implemented using Tensorflow 2.x

deep-neural-networks deep-learning tensorflow neural-networks keras-tensorflow zero-shot-learning historical-documents phocnet spatial-pyramid-pooling icdar word-recognition icdar2021 historical-document-analysis phoscnet phosnet

Updated Jan 9, 2023
Python

ihdia / Palmira

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📜 [ICDAR 2021] "A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten Manuscripts", S P Sharan, Sowmya Aitha, Amandeep Kumar, Abhishek Trivedi, Aaron Augustine, Ravi Kiran Sarvadevabhatla

deep-learning pytorch dataset instance-segmentation graph-neural-networks icdar2021 deformable-convolutional-network historical-document-analysis document-image-segmentation

Updated Mar 27, 2023
Python

anastzel / hist-doc-segm

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Semantic Segmentation of Historical Documents using Deep Learning Architectures

deep-learning tensorflow keras historical-document-analysis

Updated Nov 4, 2022
Python

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