…There are two major challenges to allowing such an attractive learning modality for segmentation tasks: i) a large-scale benchmark for assessing algorithms is missing; ii) unsupervised shape representation We propose a new problem of large-scale unsupervised semantic segmentation (LUSS) with a newly created benchmark dataset to track the research progress. Based on the ImageNet dataset, we propose the ImageNet-S dataset with 1.2 million training images and 50k high-quality semantic segmentation annotations for evaluation.
31 PAPERS • 6 BENCHMARKS
…All images have an associated ground truth annotation of breed, head ROI, and pixel-level trimap segmentation.
42 PAPERS • 7 BENCHMARKS
…All images have an associated ground truth annotation of breed, head ROI, and pixel level trimap segmentation. Also available on Academic torrent, Link is here
73 PAPERS • 5 BENCHMARKS