The Paper List of Large Multi-Modality Model (Perception, Generation, Unification), Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching for Preliminary Insight.
Browse a collection of resources on large models that connect images and text for better understanding.
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Free · no card · unsubscribe anytimeThe Paper List of Large Multi-Modality Model (Perception, Generation, Unification), Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching for Preliminary Insight.
Awesome_Matching_Pretraining_Transfering has 444 stars on GitHub. It has been forked 48 times. It has been in active development since 2020. Awesome_Matching_Pretraining_Transfering is available under the MIT license. Its main topics are awesome-list, cross-modal-retrieval, image-text-matching, image-text-retrieval.
The Paper List of Large Multi-Modality Model (Perception, Generation, Unification), Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching for Preliminary Insight.
Awesome_Matching_Pretraining_Transfering is an open-source project. It is released under the MIT license.
Yes. Awesome_Matching_Pretraining_Transfering is free and open source — you can use, modify and self-host it.
Awesome_Matching_Pretraining_Transfering is available under the MIT license.
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