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这篇论文是谷歌出品的又一个很有意义的工作。该文提出了一个非常简单的方法，来提高模型在vision-language和vision的表示能力。该方法通过对原始语料进行简单处理从而获得大规模的噪声数据集，接着采用对比学习的方法在一个非常基础的dual-encoder模型进行预训练（image caption任务）。该模型现在在许多任务上都刷新了SOTA。
## 信息
- 主要作者：Chao Ji…
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**Original article:** T. Chen, S. Kornblith, M. Norouzi, and G. Hinton. “A simple framework for contrastive learning of visual repre-
sentations.” In: International conference on machine learning. PM…
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I propose the introduction of a Profile Badges and Achievements system to increase student engagement and motivation on Research-Nexas. This feature will reward students who perform exceptionally well…
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### [PDF] [EQ-CBM: A Probabilistic Concept Bottleneck with Energy…
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### Is your feature request related to a problem? Please describe.
Understanding the functionality of queue operations (Enqueue, Dequeue, Front, Rear) can be challenging, especially for beginners who…
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I think that stage 1 learning, that means visual-language representation learning with those three objectives mentioned in the article is not yet implemented. Am I right?
Not implemented `load_pre…
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Dear sir,
Thanks for your excellent job of paper "Deep High-Resolution Representation Learning for Human Pose Estimation"! I have an question about the "exchange block":
In the "Rep…
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### Model description
Contrastive Audio-Visual Masked Autoencoder (CAV-MAE) combines two major self-supervised learning frameworks: contrastive learning and masked data modeling, to learn a joint and…
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Currently, existing robotic navigation methods have been expert in simultaneous mapping and localization (SLAM) and path planning not only in the large-scale environment but also dense-crowd scenarios…