Awesome_Matching_Pretraining_Transfering

The awesome tutorial of Large Multi-Modality Model, Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching will be constantly updated for Preliminary Insight !

Logupdate

【2024.06.06】 Update 90+ papers; Due to limited time, LMMM section will be expanded later.
【2024.03.09】 A new section named [Large Multi-Modality Model] has been added.
【2023.05.25】 A new section named [Parameter-Efficient Finetuning] has been added.
【2021.07.10】 A new section named [Vision-Language Pretraining] has been added.
【2020.11.01】 A new section named [Conventional Image-Text Matching] has been added.

Catalogue

• Methods Summary

  • Large Multi-Modality Model
    • Large Language Model
    • Large Vision Model
    • Large Region Multimodal Model
    • Large Image Multimodal Model
    • Large Video Multimodal Model
    • Large Model Distillation
    • Related Survey
    • Related Benchmark
  • Parameter-Efficient Finetuning
    • Prompt Tuning
    • Adapter Tuning
    • Partially Tuning
    • Side Tuning
    • Unified Tuning
    • Posted in
  • Vision-Language Pretraining
    • Image-Language Pretraining
    • Video-Language Pretraining
    • Image-Language Datasets
    • Video-Language Datasets
  • Conventional Image-Text Matching
    • Generic-Feature Extraction
    • Cross-Modal Interaction
    • Similarity Measurement
    • Uncertainty Learning
    • Noisy Correspondence
    • Commonsense Learning
    • Adversarial Learning
    • Loss Function
    • Un-/Semi-Supervised
    • Zero-/Fewer-Shot
    • Continual Learning
    • Identification Learning
    • Video-Text Learning
    • Scene-Text Learning
    • Related Works
    • Posted in
    • Peformance
      • Flickr8K
      • Flickr30K
      • MSCOCO1K
      • MSCOCO5K
      • RSTPReid
      • CUHK-PEDES
      • ICFG-PEDES
      • CUB-Flowers

• Other Resources

  • Large Foundation Model
  • Multi-Modality Model
  • Transfer Learning
  • Graph Learning
  • Fewshot Learning

License

MIT license. If any questions, please contact me at r1228240468@gmail.com.