Paranioar / Awesome_Matching_Pretraining_Transfering

The Paper List of Large Multi-Modality Model, Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching for Preliminary Insight.

Awesome_Cross_Modal_Pretraining_Transfering

The tutorial of Cross-Modal Matching / Pretraining / Transfering will be constantly updated for Preliminary Insight !

Logupdate

【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.
【2021.12.11】 A new section named [Video-Text Learning] has been added.
【2021.07.10】 A new section named [Vision-Language Pretraining] has been added.

Catalogue

• Methods Summary

  • Large Multi-Modality Model
    • Region Perception-Generation
    • Image Perception-Generation
    • Video Perception-Generation
    • Large Uni-Modality Model
    • Large Model Distillation
    • Related Survey
    • Related Benchmark
  • Parameter-Efficient Finetuning
    • Parameter-Efficient Method
    • Memory-Efficient Method
  • Vision-Language Pretraining
    • Pretrained Method
    • Pretrained Dataset
  • 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 Comparison

  • 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 [e-mail].