第一阶段,基于实体的排名(ER),通过采用多查询到多目标范例来适应长文本查询的歧义,从而促进下一阶段的候选过滤。第二阶段是基于摘要的重新排名 (SR),它使用摘要查询来细化这些排名。 当前方法面临挑战: 1. 计算成本高: 当前的多模态大语言模型(MLLMs)在处理文本到图像检索时,需要进行复杂的模型级相似性推理。这些...
Text-Image Retrieval | SoDeep: a Sorting Deep net to learn ranking loss surrogates 曳河 3 人赞同了该文章 1.论文阅读 Main Contributions: 提出了用深度神经网络近似替代 non-differentiable ranking metrics,使其更适合作为traning loss 研究了该网络的两种可能的结构:CNN和RNN 将该网络应用于CNN网络,实现了...
Text-to-image retrievalCross-modal retrievalMetric learningSentiment orientationIn this era of multimedia Web, text-to-image retrieval is a critical function of search engines and visually-oriented online platforms. Traditionally, the task primarily deals with matching a text query with the most ...
文章设计了三个任务来测量生成图像的可解释性:食材识别(Ingredient recognition)、图像到食谱的回溯(Image-to-recipe retrieval)、图像到图像的回溯(Image-to-image retrieval ) 1)食物识别:就是在生成的食品图像中对配料进行多重标记,然后与食谱中用到的真实食材进行对比,下图列出了CookGAN生成的两个样本图像的识别成...
In this paper, we train a Cross-Modal Coherence Modelfor text-to-image retrieval task. Our analysis shows that models trained with image--text coherence relations can retrieve images originally paired with target text more often than coherence-agnostic models. We also show via human evaluation ...
The goal of the dataset is to provide a benchmark for the image retrieval task. The dataset consists of 80 queries divided into 50 conceptual and 30 descriptive queries. A descriptive query mentions some of the objects in the image, for instance, people chopping vegetables. While, a ...
solver utils LICENSE README.md run_irra.sh test.py train.py visualize.py README MIT license Official PyTorch implementation of the paper Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval. (CVPR 2023)arXiv ...
Text-to-image person retrieval aims to retrieve images of person given textual descriptions, and most methods implicitly assume that the training image-text pairs are correctly aligned, but in practice, under-correlated and false-correlated problems arise for image-text pairs due to poor image quali...
You can now access the DRaFT+ algorithm and sample code through theNeMo-Aligner libraryon GitHub.NVIDIA NeMois an end-to-end platform for developing custom generative AI, anywhere. It includes tools for training, fine-tuning, retrieval-augmented generation, guardrailing, data curation tools, ...
Text-based Person Retrieval with Noisy Correspondence CUHK-PEDES RDE Rank-1 74.46 # 1 Compare Rank-5 89.42 # 1 Compare Rank 10 93.63 # 1 Compare mAP 66.13 # 1 Compare mINP 49.66 # 1 Compare Text based Person Retrieval CUHK-PEDES RDE R@1 75.94 # 5 Compare R@10 94.1...