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Found 4 papers, 3 papers with code
Thinking Like an Annotator: Generation of Dataset Labeling Instructions
In Labeling Instruction Generation, we take a reasonably annotated dataset and: 1) generate a set of examples that are visually representative of each category in the dataset; 2) provide a text label that corresponds to each of the examples.
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection
As a result, image resampling alone is not enough to yield a sufficiently balanced distribution at the object level.
AlphaNet: Improving Long-Tail Classification By Combining Classifiers
Methods in long-tail learning focus on improving performance for data-poor (rare) classes; however, performance for such classes remains much lower than performance for more data-rich (frequent) classes.
BOLD5000: A public fMRI dataset of 5000 images
Vision science, particularly machine vision, has been revolutionized by introducing large-scale image datasets and statistical learning approaches.
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