ROI-based image generation
5 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in ROI-based image generation
Most implemented papers
Deep PCB To COCO Convertor
It has 1500 image pairs.
MOGAN: Morphologic-structure-aware Generative Learning from a Single Image
For training for ROI, we propose to utilize the data coming from the original image being augmented and bring in a novel module to transform such augmented data into knowledge containing both structures and appearances, thus enhancing the model's comprehension of the sample.
AugStatic - A Light-Weight Image Augmentation Library
AugStatic is a custom-built image augmentation library with lower computation costs and more extraordinary salient features compared to other image augmentation libraries.
Augmented Balanced Image Dataset Generator Using AugStatic Library
This paper focuses on the image dataset generator that balances an imbalanced dataset using the AugStatic augmentation library.
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation
The accuracies are acquired for each augmentation technique using a RESNET18 model.