{"url":"/method/c3-amp","slug":"c3-amp","name":"C3-AMP","full_name":"Amplified Cross-Stage Partial Block","full_name_withheld":false,"description_markdown":"In our proposed concept, we use an Inception layer after a convolutional layer with a kernel size of 1, and then, after performing batch normalization and the SILU activation function, we concatenate the output of this layer with the input of the bottleneck and pass it to the next layer. Moreover, in the other branch of C3-AMP, after performing a convolutional layer, a max pooling layer is employed, and then after concatenating the output of this layer with the output of bottleneck series, another convolutional layer with a kernel size of 1 is utilized.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules","paper":"/paper/inception-yolo-computational-cost-and","first_author":"Hadi Khodaei Jooshin","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/inception-yolo-computational-cost-and"},"source":{"url":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ipr2.13077","title":"Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules","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":"Object Detection Models","url":"/methods/category/object-detection-models","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/inception-yolo-computational-cost-and","title":"Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules","date":"2024-03-11","arxiv_id":null,"n_code_links":0,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/medical-image-analysis","name":"Medical Image Analysis","papers":1},{"task":"/task/object-detection","name":"Object Detection","papers":1},{"task":"/task/real-time-object-detection","name":"Real-Time Object Detection","papers":1},{"task":"/task/object-detection-1","name":"object-detection","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/c3-amp"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}