{"url":"/method/vggoptivmd","slug":"vggoptivmd","name":"VGGoptiVMD","full_name":"VGG and variational Model Decomposition","full_name_withheld":false,"description_markdown":null,"description_state":"withheld_vandalized","introduced_year":null,"introduced_by":{"title":"10 hours data is all you need","paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/10-hours-data-is-all-you-need"},"source":{"url":"https://arxiv.org/abs/2210.13067v1","title":"10 hours data is all you need","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Convolutional Neural Networks","url":"/methods/category/convolutional-neural-networks","pwc_aliases":[]}],"n_papers_tagged":0,"archive_num_papers":1,"papers_newest_first":[],"papers_shown":0,"tasks":[],"tasks_shown":0,"n_tasks":0,"usage_by_year":[],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/vggoptivmd"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}