awesome-parameter-efficient-transfer-learning
github.com/synbol/awesome-parameter-efficient-transfer-learning ↗Collection of awesome parameter-efficient fine-tuning resources.
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🐌 Papers🎯 Datasets of Visual PETL
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🎯 Datasets of Visual PETL
- ADE20K
Semantic Understanding of Scenes through the ADE20K Dataset
- Diving-48
RESOUND: Towards Action Recognition without Representation Bias
- HMDB51
HMDB:ALargeVideo Database for Human Motion Recognition
- Kinetics-400
The kinetics human action video dataset.
- MSCOCO
Microsoft COCO: Common Objects in Context
- PASCALVOC
The Pascal Visual Object Classes Challenge: A Retrospective
Showing a sample of 111 resources. View the full list on GitHub →