• Corpus ID: 227247712

Chair Segments: A Compact Benchmark for the Study of Object Segmentation

  title={Chair Segments: A Compact Benchmark for the Study of Object Segmentation},
  author={Leticia Pinto-Alva and Ian K. Torres and Rosangel Garcia and Ziyan Yang and Vicente Ordonez},
Over the years, datasets and benchmarks have had an outsized influence on the design of novel algorithms. In this paper, we introduce ChairSegments, a novel and compact semi-synthetic dataset for object segmentation. We also show empirical findings in transfer learning that mirror recent findings for image classification. We particularly show that models that are fine-tuned from a pretrained set of weights lie in the same basin of the optimization landscape. ChairSegments consists of a diverse… 
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