文章主要介绍我们在ECCV 2022 Oral (2 accept, 1 weak accept)的论文"Fine-Grained Scene Graph Generation with Data Transfer"。主要内容包括对于Scene Graph现有问题的介绍 (标题里的精神内耗),我们的方法。最后是关于场景图生成(SGG)领域的一些感受。 论文:arxiv.org/abs/2203.1165 代码:github.com/waxnkw/IE...
Long-tailed distribution in the dataset is one of the major problems of the scene graph generation task. Previous methods attempt to alleviate this by introducing human commonsense knowledge in the form of statistical correlations between object pairs. However, the reasoning path they used is ...
scene graph是想建立一个图表示场景中不同物体之间的关系,如下图所示: from Neural Motifs region proposal 现在很多scene graph generation 的文章,或者使用scene graph (SG)去生成图片的文章。对于分析图片中物体之间的关系,早期的文章基本上都是利用Faster R-CNN做region proposal,并获得每个区域的feature map,以及...
同年下半年,受含老师的影响(要求),我去看了很久的《The Book of Why》来寻找灵感,最后到了临近CVPR deadline,还是回归了自己的老本行场景图生成,投稿了一篇《Unbiased Scene Graph Generation from Biased Training》,并幸运的以(SA,SA,WA)的分数中了今年的CVPR 2020。结合我之前对SGG领域的了解,我认为目前SGG...
Scene Graph Generation (SGG) remains a challenging visual understanding task due to its compositional property. Most previous works adopt a bottom-up two-stage or a point-based one-stage approach, which often suffers from high time complexity or sub-optimal designs. In this work, we propose a...
A scene graph is a structured representation of an image, where nodes in a scene graph correspond to object bounding boxes with their object categories, and edges correspond to their pairwise relationships between objects. The task of Scene Graph Generation is to generate a visually-grounded scene...
文章主要介绍我们在ECCV 2022 Oral (2 accept, 1 weak accept)的论文"Fine-Grained Scene Graph Generation with Data Transfer"。主要内容包括对于Scene Graph现有问题的介绍 (标题里的精神内耗),我们的方法。最后是关于场景图生成(SGG)领域的一些感受。
因为Scene Graph Generation by Iterative Message Passing有明显的随迭代次数退化问题,中加入Attention机制(应该有些许改进,但估计不会大) 同理,按说在上文的迭代中加入Residual应该也可以解决退化的问题,但是为什么Scene Graph Generation from Objects, Phrases and Region Captions加了但没有用 ...
Fully Convolutional Scene Graph Generation Hengyue Liu1* Ning Yan2 Masood Mortazavi2 Bir Bhanu1 1University of California, Riverside 2Futurewei Technologies Inc. {hliu087, bir.bhanu}@ucr.edu, {nyan, masood.mortazavi}@futurewei.com Abstract This paper presents a fully convolutional scene graph ...
场景图生成论文阅读笔记 之 CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation,程序员大本营,技术文章内容聚合第一站。