{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deep-learning-approach-for-very-similar","title":"Deep Learning Approach for Very Similar Objects Recognition Application on Chihuahua and Muffin Problem","arxiv_id":"1801.09573","date":"2018-01-29","proceeding":null,"authors":["Enkhtogtokh Togootogtokh","Amarzaya Amartuvshin"],"abstract":"We address the problem to tackle the very similar objects like Chihuahua or\nmuffin problem to recognize at least in human vision level. Our regular deep\nstructured machine learning still does not solve it. We saw many times for\nabout year in our community the problem. Today we proposed the state-of-the-art\nsolution for it. Our approach is quite tricky to get the very high accuracy. We\npropose the deep transfer learning method which could be tackled all this type\nof problems not limited to just Chihuahua or muffin problem. It is the best\nmethod to train with small data set not like require huge amount data.","url_abs":"http://arxiv.org/abs/1801.09573v1","url_pdf":"http://arxiv.org/pdf/1801.09573v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deep-learning-approach-for-very-similar","repo_url":"https://github.com/rcgc/chihuahua-muffin","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"small-data","task_name":"Small Data Image Classification"},{"task_slug":"transfer-learning","task_name":"Transfer Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}