{"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/multi-path-convolutional-neural-networks-for","title":"Multi-path Convolutional Neural Networks for Complex Image Classification","arxiv_id":"1506.04701","date":"2015-06-15","proceeding":null,"authors":["Mingming Wang"],"abstract":"Convolutional Neural Networks demonstrate high performance on ImageNet\nLarge-Scale Visual Recognition Challenges contest. Nevertheless, the published\nresults only show the overall performance for all image classes. There is no\nfurther analysis why certain images get worse results and how they could be\nimproved. In this paper, we provide deep performance analysis based on\ndifferent types of images and point out the weaknesses of convolutional neural\nnetworks through experiment. We design a novel multiple paths convolutional\nneural network, which feeds different versions of images into separated paths\nto learn more comprehensive features. This model has better presentation for\nimage than the traditional single path model. We acquire better classification\nresults on complex validation set on both top 1 and top 5 scores than the best\nILSVRC 2013 classification model.","url_abs":"http://arxiv.org/abs/1506.04701v3","url_pdf":"http://arxiv.org/pdf/1506.04701v3.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":"multi-path-convolutional-neural-networks-for","repo_url":"https://github.com/joaopauloschuler/neural-api","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"torch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"object-recognition","task_name":"Object Recognition"},{"task_slug":"image-classification","task_name":"image-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}