最近需要做一个text-to-image相关的应用,根据之前调研的行人Re-id综述论文可知,封闭场景下的基于辅助特征的行人重识别和开放场景下的异构行人重识别方法可做相关类似的应用。而根据论文Cross-Modal-Projection-Learning可知用于此类应用的数据集主要有三个:Flickr30k Dataset、MSCOCO和CUHK-PEDES。 Flickr30k Dataset数据...
本文解析了Flickr30K Image dataset在文本到图像应用中的使用。此数据集适用于基于辅助特征的行人重识别及异构行人重识别方法，是文本到图像应用的重要资源之一。数据集可从Kaggle网站下载，提供CSV格式，另有JSON格式数据集可从Cross-Modal-Projection-Learning链接获取。使用代码加载JSON格式文件，解析后发现数...
The Flickr30K Entities dataset is an extension to the Flickr30K dataset. It augments the original 158k captions with 244k coreference chains, linking mentions of the same entities across different captions for the same image, and associating them with 276k manually annotated bounding boxes. This ...
The Flickr30k dataset contains 31,000 images collected from Flickr, together with 5 reference sentences provided by human annotators.
computer-vision lstm image-captioning transfer-learning attention-mechanism encoder-decoder flickr30k Updated Dec 27, 2024 Python Delphboy / karpathy-splits Star 6 Code Issues Pull requests Karpathy Splits json files for image captioning image-caption mscoco-dataset flickr8k-dataset flickr30k...
Explore and run machine learning code with Kaggle Notebooks | Using data from Flickr30k
[Flickr30k] Reference: We have a journal version of our paper with a stronger baseline on the phrase localization task: Bryan A. Plummer, Liwei Wang, Christopher M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, and Svetlana Lazebnik, Flickr30K Entities: Collecting Region-to-Phrase ...
我们使用流行数据集flickr30k字幕38 coc内容.pdf 关闭预览 想预览更多内容,点击免费在线预览全文 免费在线预览全文 Multi-taskLearningofHierarchicalVision-LanguageRepresentation Duy-KienNguyen1andTakayukiOkatani1,2 1GraduateSchoolofInformationSciences,TohokuUniversity2RIKENCenterforAIP ...
Flickr30K has been evaluated under multiple splits so have provided the image splits used in our experiments in the train.txt, test.txt, and val.txt files. Matlab Interface We have included Matlab code to parse our data files. To extract Coreference information use the following function call...
(e.g. MS-COCO, Flickr30K), in which the query utterance is rigid and unnatural (i.e. verbosity and formality). To overcome the shortcoming, we construct a new Compact and Fragmented Query challenge dataset (named Flickr30K-CFQ) to model text-image retrieval task considering multiple query ...