Transferability
5 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Transferability
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
classification benchmark
Most implemented papers
Ranking Neural Checkpoints
google-research/google-research
•
•
CVPR 2021
This paper is concerned with ranking many pre-trained deep neural networks (DNNs), called checkpoints, for the transfer learning to a downstream task.
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
thuml/LogME
•
•
In pursuit of a practical assessment method, we propose to estimate the maximum value of label evidence given features extracted by pre-trained models.
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks
google-research/pactran_metrics
•
•
With the increasing abundance of pretrained models in recent years, the problem of selecting the best pretrained checkpoint for a particular downstream classification task has been gaining increased attention.
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space
tencentarc/sfda
•
•
It is challenging because the ground-truth model ranking for each task can only be generated by fine-tuning the pre-trained models on the target dataset, which is brute-force and computationally expensive.
ETran: Energy-Based Transferability Estimation
mgholamikn/ETran
•
•
ICCV 2023
This is the first work that proposes transferability estimation for object detection task.
