Image transformer初始化为与训练在ImageNet的ViT(vision transformer),text transformer初始化为Bert_{base},这里采用ViT-L和ViT-B两个变体,主要在批量大小、学习率和体量有所不同,训练阶段图像大小为224×224,微调阶段为384×384,用AamW优化器。 比较的下游任务有:Image-Text Retrieval(ITC和ITM)、Image Captioning...
1) 主要是之前的工作pre-train的task中,只有understanding task,而该文章的pre-train task 中既有understanding task(retrieval/classification),也有generation task(captioning) 2) 还有一点是在downstream tasks中,之前的VideoBERT/CBT,做的是action classification/video caption,所以他只为了得到更好的video的representati...
To this end, we present a Multi-Task Collaborative Network (MTCN) that leverages the synergy between multiple tasks to enhance the performance of image-text retrieval. Specifically, we introduce three unimodal tasks, including text-text matching, image multi-label classification, and text multi-...
Existing mainstream methods primarily focus on modeling the association of image-text pairs while neglecting the advantageous impact of multi-task learning on image-text retrieval. To this end, a multi-task visual semantic embedding network (MVSEN) is proposed for image-text retrieval. Specifically,...
harmonyos 设置text在image上 image-text 重要性和意义: Image-text matching has received a large amount of interest since it associates different modalities and improves the understanding of image and natural language. Image-text matching is an emerging task that matches instance from one modality with...
the mIoU drops from 23.4 to 21.8, and PQ drops 0.7 without image-text retrieval. Since we share the same semantic space for both tasks, a good visual-semantic alignment learned from the retrieval task can directly benefit the recognition of novel concepts. • Image captioning helps referring ...
This task has found extensive application across diverse domains and has received significant scholarly attention in recent years [2]. Specifically, it has been employed for various purposes, including but not limited to restoring the content and enhancing the quality of historical photographs, ...
Evaluating performance of biomedical image retrieval systems–an overview of the medical image retrieval task at ImageCLEF 2004–2013 Comput. Med. Imaging Graph. (2015) G. Cattaneo et al. An algebraic approach to shadowed sets Electron. Notes Theor. Comput. Sci. (2003) W. Pedrycz Interpretation...
Moreover, the demo was built directly with the pre-trained model and not finetuned with any image retrieval task. In addition, today’s image retrieval systems also use object tagging algorithms applied to images which augment the text metadata (i.e., add tags like car, house...
Uniter: Universal image-text representation learning scholar 2020 multimodal encoder combined embeddings COCO, Visual Genome, Conceptual Captions qa/image-text retrieval image + text 12-in-1: Multi-task vision and language representation learning scholar 2020 multimodal encoder combined embeddings COCO, Fli...