{"url":"/method/structure-retaining-cyclegan","slug":"structure-retaining-cyclegan","name":"Structure Retaining CycleGAN","full_name":"Structure Retaining CycleGAN","full_name_withheld":false,"description_markdown":null,"description_state":"absent","introduced_year":null,"introduced_by":{"title":"Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems","paper":"/paper/deep-domain-adaptation-a-sim2real-neural","first_author":"Viet Dung Nguyen","n_authors":6,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/deep-domain-adaptation-a-sim2real-neural"},"source":{"url":"https://arxiv.org/abs/2403.15947v1","title":"Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems","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":"Image Generation Models","url":"/methods/category/image-generation-models","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/deep-domain-adaptation-a-sim2real-neural","title":"Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems","date":"2024-03-23","arxiv_id":"2403.15947","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/dimensionality-reduction","name":"Dimensionality Reduction","papers":1},{"task":"/task/domain-adaptation","name":"Domain Adaptation","papers":1},{"task":"/task/image-segmentation","name":"Image Segmentation","papers":1},{"task":"/task/semantic-segmentation","name":"Semantic Segmentation","papers":1}],"tasks_shown":4,"n_tasks":4,"usage_by_year":[{"year":"2024","papers":1}],"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/structure-retaining-cyclegan"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}