3 papers
cs.CV2024
Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement
Bryan Bo Cao, Lawrence O'Gorman, Michael Coss +1
We propose Few-Class Arena (FCA), as a unified benchmark with focus on testing efficient image classification models for few classes. A wide variety of benchmark datasets with many…
cs.LG2024
A Lightweight Measure of Classification Difficulty from Application Dataset Characteristics
Bryan Bo Cao, Abhinav Sharma, Lawrence O'Gorman +2
Although accuracy and computation benchmarks are widely available to help choose among neural network models, these are usually trained on datasets with many classes, and do not gi…
cs.CV2023
Data-Side Efficiencies for Lightweight Convolutional Neural Networks
Bryan Bo Cao, Lawrence O'Gorman, Michael Coss +1
We examine how the choice of data-side attributes for two important visual tasks of image classification and object detection can aid in the choice or design of lightweight convolu…