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Found 5 papers, 3 papers with code
ViOCRVQA: Novel Benchmark Dataset and Vision Reader for Visual Question Answering by Understanding Vietnamese Text in Images
To this end, we introduce a novel dataset, ViOCRVQA (Vietnamese Optical Character Recognition - Visual Question Answering dataset), consisting of 28, 000+ images and 120, 000+ question-answer pairs.
Optical Character Recognition
Optical Character Recognition (OCR)
+2
ViTextVQA: A Large-Scale Visual Question Answering Dataset for Evaluating Vietnamese Text Comprehension in Images
Visual Question Answering (VQA) is a complicated task that requires the capability of simultaneously processing natural language and images.
Multimodal Deep Learning
Optical Character Recognition (OCR)
+5
LACFormer: Toward accurate and efficient polyp segmentation
The proposed model combines the strengths of Transformers and CNNs along with Laplacian images to overcome the limitations of previous models.
LAPFormer: A Light and Accurate Polyp Segmentation Transformer
Polyp segmentation is still known as a difficult problem due to the large variety of polyp shapes, scanning and labeling modalities.
Online pseudo labeling for polyp segmentation with momentum networks
In this work, we present a new pseudo labeling strategy that enhances the quality of pseudo labels used for training student networks.
