Image-text retrieval task has been a popular research topic and attracts a growing interest due to it bridges computer vision and natural language processing communities and involves two different modalities. Although a lot of methods have made a great progress in image-text task, it remains challe...
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-...
In the past few years, cross-modal image-text retrieval (ITR) has experienced increased interest in the research community due to its excellent research value and broad real-world application. It is designed for the scenarios where the queries are from one modality and the retrieval galleries fro...
Text-to-image person retrieval aims to retrieve relevant target individuals based on given textual descriptions. The main challenge faced by this task is h... Z Li,Y Xie - 《Multimedia Systems》 被引量: 0发表: 2024年 SAM: cross-modal semantic alignments module for image-text retrieval Cross...
TaskBLIP w/ ViT-BBLIP w/ ViT-B and CapFilt-LBLIP w/ ViT-L Image-Text Retrieval (COCO)Download-Download Image-Text Retrieval (Flickr30k)Download-Download Image Captioning (COCO)-DownloadDownload VQADownloadDownload- NLVR2Download-- Image-Text Retrieval: ...
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nlpmachine-learningdeep-learningneural-networkartificial-intelligencetransformerimage-captioningvideo-recognitionmultimodal-learningmultitask-learning UpdatedOct 31, 2020 Python Custom ComfyUI nodes for Vision Language Models, Large Language Models, Image to Music, Text to Music, Consistent and Random Creative ...
Document image retrieval is a task to retrieve document images relevant to a user?s query. Most of existing methods based on word-level indexing rely on the representation called "bag of words" which originated in the field of information retrieval. This paper presents a new representation of ...
During various types of data queries in digital library,image retrieval plays a very important role.In order to better achieve the image retrieval taske,a new content-based image retrieval method was proposed in this paper.In this method,image was divided some blocks.Then,DCT coefficient was com...