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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.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…