hdong51/Human-Animal-Cartoon

Human-Animal-Cartoon (HAC)数据集包含由人类、动物和卡通人物执行的七个动作（‘睡觉’、‘看电视’、‘吃饭’、‘喝水’、‘游泳’、‘跑步’和‘开门’），形成了三个不同的领域。我们从互联网上收集了3381个视频剪辑，每个领域大约有1000个，并在数据集中提供了三种模态：视频、音频和预计算光流。该数据集可用于多模态领域泛化和适应。

The Human-Animal-Cartoon (HAC) dataset consists of seven actions (‘sleeping’, ‘watching tv’, ‘eating’, ‘drinking’, ‘swimming’, ‘running’, and ‘opening door’) performed by humans, animals, and cartoon figures, forming three different domains. We collect 3381 video clips from the internet with around 1000 for each domain and provide three modalities in our dataset: video, audio, and pre-computed optical flow. The dataset can be used for Multi-modal Domain Generalization and Adaptation.

原始信息汇总

Human-Animal-Cartoon 数据集

概述

• 名称: Human-Animal-Cartoon (HAC) 数据集
• 包含动作: 7种动作（‘sleeping’, ‘watching tv’, ‘eating’, ‘drinking’, ‘swimming’, ‘running’, ‘opening door’）
• 领域: 人类、动物、卡通人物
• 视频数量: 3381个视频片段
• 每个领域视频数量: 约1000个
• 模态: 视频、音频、预计算的光流

用途

• 应用: 多模态领域泛化和适应

相关文献

• 论文: SimMMDG
• 代码: SimMMDG

引用

@inproceedings{dong2023SimMMDG, title={Sim{MMDG}: A Simple and Effective Framework for Multi-modal Domain Generalization}, author={Dong, Hao and Nejjar, Ismail and Sun, Han and Chatzi, Eleni and Fink, Olga}, booktitle={Advances in Neural Information Processing Systems (NeurIPS)}, year={2023} }