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Found 4 papers, 2 papers with code
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey
However, there is a lack of a comprehensive comparison between these estimation methods yet.
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection
However, current supervised learning methods require extensively annotated images and the state-of-the-art generative models used in unsupervised methods often have limitations in covering the whole data distribution.
CRRS: Concentric Rectangles Regression Strategy for Multi-point Representation on Fisheye Images
Compared with the previous work for muti-point representation, the experiments show that CRRS can improve the training performance both in accurate and stability.
DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and Checking
For example, 2D object detection usually requires a large amount of 2D annotation data with high cost.
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