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Found 7 papers, 4 papers with code
TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understanding
The image overview stage provides a comprehensive understanding of the global scene information, and the coarse localization stage approximates the image area containing the answer based on the question asked.
Perceptual learning in contour detection transfer across changes in contour path and orientation
The integration of local elements into shape contours is critical for target detection and identification in cluttered scenes.
Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMs
Moreover, we curate a collection of text-rich images and prompt the text-only GPT-4 to generate 12K high-quality conversations, featuring textual locations within text-rich scenarios.
Progressive Recurrent Network for Shadow Removal
To handle this issue, we consider removing the shadow in a coarse-to-fine fashion and propose a simple but effective Progressive Recurrent Network (PRNet).
Detect Any Shadow: Segment Anything for Video Shadow Detection
Segment anything model (SAM) has achieved great success in the field of natural image segmentation.
UDoc-GAN: Unpaired Document Illumination Correction with Background Light Prior
To this end, we propose UDoc-GAN, the first framework to address the problem of document illumination correction under the unpaired setting.
Fish Detection Using Deep Learning
An advanced system with more computing power can facilitate deep learning feature, which exploit many neural network algorithms to simulate human brains.
