{"url":"/method/partial-hybrid-transfer-learning","slug":"partial-hybrid-transfer-learning","name":"Partial Hybrid Transfer Learning","full_name":"Partial Hybrid Transfer Learning","full_name_withheld":false,"description_markdown":"While the typical approach to leverage transfer learning in image segmentation models involves replacing the entire encoder, this can restrict the customization and unique strengths of the main network. To address this limitation, we propose a hybrid transfer learning strategy that incorporates pre-trained convolutional layers from two distinct architectures (e.g., VGG16 and DenseNet201), allowing us to leverage the advantages of transfer learning while preserving the core features and characteristics of the base model's architecture.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGAN","paper":"/paper/hi-gmisnet-generalized-medical-image","first_author":"Tushar Talukder Showrav","n_authors":2,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/hi-gmisnet-generalized-medical-image"},"source":{"url":"https://iopscience.iop.org/article/10.1088/1361-6560/ad3cb3","title":"Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGAN","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":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/hi-gmisnet-generalized-medical-image","title":"Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGAN","date":"2024-05-20","arxiv_id":null,"n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":null,"name":"Generative Adversarial Network","papers":1},{"task":"/task/image-segmentation","name":"Image Segmentation","papers":1},{"task":"/task/medical-image-segmentation","name":"Medical Image Segmentation","papers":1},{"task":"/task/segmentation","name":"Segmentation","papers":1},{"task":"/task/semantic-segmentation","name":"Semantic Segmentation","papers":1},{"task":"/task/transfer-learning","name":"Transfer Learning","papers":1}],"tasks_shown":6,"n_tasks":6,"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/partial-hybrid-transfer-learning"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}