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 !

【2024.07.11】 Update 50+ 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.

• 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

MIT license. If any questions, please contact me at [email protected].