The pronounced success of classification might lead numerous newcomers and engineers to assume that classic TTA techniques can be directly applied to the more challenging task of semantic segmentation. However, this belief is still an open question. In this paper, we investigate the applicability of ...
Visual Question Answering (VQA) is the problem of automatically answering a natural language question about a given image or video. Standard Arabic is the
is quite naturally related to image captioning in that text has to be produced based on an image. Important differences include the fact that the produced text needs to answer the question rather than describe what is visible in the image. Also, additional text data is present in VQA in the...
this dataset is not specifically designed for question-answering or generation, which typically requires triplets of\(\langle \)context, answer, question\(\rangle \). Therefore, it is often necessary to perform additional processing steps, for example, segmenting...
Semantic passage segmentation based on sentence topics for question answering, Information Sciences 117 - Oh, Myaeng, et al. - 2007 () Citation Context ...rformed for a variety of purposes and is often a pre-processing step in a larger task. E.g., text can be topically segmented to ...
VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation - Cold-Winter/vqs
pytest.param( "semantic_segmentation.py", marks=pytest.mark.skipif(not _IMAGE_TESTING, reason="image libraries aren't installed"),0 ...xt/seq2seq/question_answering/__init__.py → tests/text/question_answering/__init__.py File renamed without changes. 273 changes: 273 additions & 0 ...
", "is_impossible": "false", "id": "56be4db0acb8001400a502ee", "answers": [ { "answer_start": "403", "text": "Santa Clara, California" } ] }, { "question": "What was the winning score of the Super Bowl 50?", "is_impossible": "true", "id": "56be4db0acb8001400a...
What is QAnything?QAnything(Question and Answer based on Anything) is a local knowledge base question-answering system designed to support a wide range of file formats and databases, allowing for offline installation and use.With QAnything, you can simply drop any locally stored file of any ...
semantic features and have a certain degree of common sense. When the ImageCLEF2018 competition [7] proposed a VQA-Med task in 2018, VQA was applied to the medical field for the first time. Similar to VQA, the questions of VQA-Med include organ type recognition (e.g., what organ is ...