原文出處: https://explorable.com/top-down-vs-bottom-up-processing Generally speaking, there are two approaches to understanding the process ...
Bottom Up and Top Down Attention for Image Captioning and Visual Question Answering 閱讀總結 筆記不能簡單的抄寫文中的內容,得有自己的思考和理解。 一 基本信息 .標題:Bottom Up and Top Down Attention for Image Captioning and Visual Question ...
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原文出處: https://explorable.com/top-down-vs-bottom-up-processing Generally speaking, there are two approaches to understanding the process ...
Learning Visual Question Answering by Bootstrapping Hard Attention Google DeepMind ECCV-2018 Updated on 2020-03-11 14:58:12 Paper:https ...
Hierarchical Question-Image Co-Attention for Visual Question Answering NIPS 2016 Paper: https://arxiv.org/pdf/1606.00061.pdf Code: https ...
初次接觸Captioning的問題,第一印象就是Andrej Karpathy好聰明。主要從他的兩篇文章開始入門,《Deep Fragment Embeddings for Bidirectional Image Sentence Mapping》和《Deep Visual ...
相關鏈接 論文地址:https://arxiv.org/abs/1901.08043 論文代碼:https://github.com/xingyizhou/ExtremeNet 概述 ExtremeNet是今年(2019)1月23號掛在arxiv上的目標檢測論文,是至今為止檢測效果 ...
標題:基於知識的視覺問答的多模態知識提取與積累 來源:CVPR 2022https://arxiv.org/abs/2203.09138 代碼:https://github.com/Ander ...
Introduction 本文有如下3個貢獻: ① 提出了一個自下而上(bottom-up)的聚類框架(BUC)來解決無監督的ReID問題; ② 采用repelled損失來優化模型,repelled損失直接優化了樣本、聚類之間的余弦距離,可以挖掘聚類之間的相似性以及最大化不同身份之間的差異性 ...
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention-閱讀總結 筆記不能簡單的抄寫文中的內容,得有自己的思考和理解。 一、基本信息 \1.標題:Show, Attend and Tell ...