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A curated list of foundation models for vision and language tasks

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Awesome-Foundation-Models

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A foundation model is a large-scale pretrained model (e.g., BERT, DALL-E, GPT-3) that can be adapted to a wide range of downstream applications. This term was first popularized by the Stanford Institute for Human-Centered Artificial Intelligence. This repository maintains a curated list of foundation models for vision and language tasks. Research papers without code are not included.

Survey

2024

Before 2024

Papers by Date

2024

2023

2022

2021

Before 2021

Papers by Topic

Large Language/Multimodal Models

Linear Attention

Large Benchmarks

Vision-Language Pretraining

Perception Tasks: Detection, Segmentation, and Pose Estimation

Training Efficiency

Towards Artificial General Intelligence (AGI)

AI Safety and Responsibility

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