OFA
image-captioning
OFA | image-captioning | |
---|---|---|
3 | 1 | |
2,325 | 32 | |
1.0% | - | |
2.8 | 3.1 | |
14 days ago | 9 months ago | |
Python | Python | |
Apache License 2.0 | - |
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OFA
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[R][P] Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework + VQA Hugging Face Spaces Demo
github: https://github.com/OFA-Sys/OFA
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OFA: model that does text-to-image as well as other tasks
From this:
- [R] Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. Shocking performance in text-to-image synthesis and open-domain tasks.
image-captioning
What are some alternatives?
ImageNet21K - Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
UPop - [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
GroundingDINO - Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
image-clustering - Easy image clustering tool.
ONE-PEACE - A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
BLIP - PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
MAGIC - Language Models Can See: Plugging Visual Controls in Text Generation
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai