Grounding Answers for Visual Questions Asked by Visually Impaired People Chongyan Chen1, Samreen Anjum2, Danna Gurari1,2 1 University of Texas at Austin 2 University of Colorado Boulder Abstract Visual question answering is the task of answering questions about images...
论文链接:TRAR: Routing the Attention Spans in Transformer for Visual Question Answering (thecvf.com) 论文代码:rentainhe/TRAR-VQA: [ICCV 2021] Official implementation of the paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering" (github.com) 出处:ICCV2021 内容简介...
能够实现多种VL任务:(detailed) image/grounded captioning, vision question answering, and visual grounding。 Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs 论文链接:[2310.00582] Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs (arxiv.org) 论文代...
Transformers for visual-language representation learning have been getting a lot of interest and shown tremendous performance on visual question answering (VQA) and grounding. But most systems that show good performance of those tasks still rely on pre-trained object detectors during training, which ...
①1T.-Y. Lin(et.all) CNN models for fine-grained visual recognition.在细粒度视觉识别任务中,作者把CNN网络的全连接层改为双线性层后,取得了很大提升。 ②2Yang Gao(et.all) Compact bilinear pooling 提出两种压缩双线性模型,和完整的双线性模型相比,损失基本不变但是参数规模缩减了两个数量级,而且支持端...
Visual Genome Visual Genome有108,077张图，5.4M的region descriptions，1.7M的visual question answers和3.8M的object instances。可谓是visual grounding界的ImageNet，李飞飞创的，经常被用来做scene graph。VQA-HAT（2016）Human Attention in Visual Question Answering: Do Humans and Deep Networks ...
Though tasks in Computer Vision (CV) (e.g. image classification [4] and object detection [5]) and techniques in Natural Language Processing (NLP) develop rapidly in recent years, Visual Grounding, similar to Visual Question Answering (VQA) [6] and Image Captioning [7], is still challenging...
VividMed: Vision Language Model with Versatile Visual Grounding for Medicine Besides visual grounding tasks, VividMed also excels in other common downstream tasks, including Visual Question Answering (VQA) and report generation. ... L Luo,B Tang,X Chen,... 被引量: 0发表: 2024年 SceneVerse:...
1. Introduction Vision-language pretraining using images paired with captions has led to models that can transfer well to an ar- ray of tasks such as visual question answering, image-text retrieval and visual commonsense reasoning [6, 18, 22]. Re- mar...
Image Captioning Visual Grounding Visual Question Answering (VQA) Datasets Edit Visual Genome Results from the Paper Edit Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers. Methods...