数据增广不是一个新问题,但之前的数据增广主要集中在单模态数据,对多模态数据的增广的研究较少 2022/11/27 Q3 这篇文章要验证一个什么科学假设? 验证mixup的图像搭配文字concatation,对于多模预训练是有效的 2022/11/27 Q6 论文中的实验是如何设计的? 文章提出了一种即插即用的方式,可以嵌入多种多模预训练...
MixGen: A New Multi-Modal Data Augmentation This is the official PyTorch implementation ofMixGen, which is a joint data augmentation technique for vision-language representation learning to improve data efficiency. Here are some image-text pairs generated by MixGen, ...
action choreographer action forwards action girlz racing action in multi-modal action modelling action of coal-firmin action of ejecting action of restraint action of tiger in ch action on smoking and action or thriller action packed comody action pitch action report action show action skill action ...
MIMIC-IT MIMIC-IT: Multi-Modal In-Context Instruction Tuning Coming soon Multimodal in-context instruction tuning M3IT M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning Link Large-scale, broad-coverage multimodal instruction tuning dataset LLaVA-Med LLaVA-Med: Training ...
MELD, a benchmark emotion recognition dataset in multi-party conversations for the task of ERC, and augment it with new ground-truth labels for EFR. An... S Kumar,A Shrimal,MS Akhtar,... - Knowledge-Based Systems 被引量: 0发表: 2022年 Text Augmentation-Based Model for Emotion Recognition...
DeepGraviLens, a novel multi-modal network that classifies spatio-temporal data belonging to one non-lensed system type and three lensed system types. It surpasses the current state-of-the-art accuracy results by≈3%to≈11%, depending on the considered data set. Such an improvement will enable...
Multi-modal FSL FSL applications in various fields 2 OVERVIEW 2.1 发展历史 两个例子: 稀有动物的识别 新用户识别 首次提出: FLS problem firstly attracted the attention of E. G. Miller et al. in 2000, who postulated a shared density on digit transforms and proposed a Congealing algorithm to bri...
Specifically, neural network visualization allows us to see what exactly a pre-trained multi-modal foundation model imagines about semantic concepts and sentences, while text-to-image generation is used to generate images matched with given texts in a more human-friendly way....
DurLAR: "DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications", Li et al., 3DV, 2021. [Paper] [Dataset] [Bibtex] [Google Scholar] Booster: "Open Challenges in Deep Stereo: The Booster Dataset", ...
A continuously updated project to track the latest progress in multi-modal object tracking. If this repository can bring you some inspiration, we would feel greatly honored. If you like our project, please give us a star ⭐ on this GitHub. If you have any suggestions, please feel free to...