{"url":"/method/spp-net","slug":"spp-net","name":"SPP-Net","full_name":"SPP-Net","full_name_withheld":false,"description_markdown":"**SPP-Net** is a convolutional neural architecture that employs [spatial pyramid pooling](https://paperswithcode.com/method/spatial-pyramid-pooling) to remove the fixed-size constraint of the network. Specifically, we add an SPP layer on top of the last convolutional layer. The SPP layer pools the features and generates fixed-length outputs, which are then fed into the fully-connected layers (or other classifiers). In other words, we perform some information aggregation at a deeper stage of the network hierarchy (between convolutional layers and fully-connected layers) to avoid the need for cropping or warping at the beginning.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition","paper":"/paper/spatial-pyramid-pooling-in-deep-convolutional","first_author":"Kaiming He","n_authors":4,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/spatial-pyramid-pooling-in-deep-convolutional"},"source":{"url":"http://arxiv.org/abs/1406.4729v4","title":"Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition","url_on_a_paper_host":true},"code_snippet_url":"https://github.com/yueruchen/sppnet-pytorch/blob/2aaad15fd4828e78ce0dfa4c9daaba9d27cae9b8/cnn_with_spp.py#L9","code_snippet_url_on_a_code_host":true,"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/spatial-pyramid-pooling-in-deep-convolutional","title":"Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition","date":"2014-06-18","arxiv_id":"1406.4729","n_code_links":14,"syntology":{"ran":0,"of":1,"unverified":1,"pointer_only":0}}],"papers_shown":1,"tasks":[{"task":"/task/classification","name":"General Classification","papers":1},{"task":"/task/image-classification","name":"Image Classification","papers":1},{"task":"/task/object-detection","name":"Object Detection","papers":1},{"task":"/task/object-recognition","name":"Object Recognition","papers":1},{"task":"/task/image-classification","name":"image-classification","papers":1},{"task":"/task/object-detection-1","name":"object-detection","papers":1}],"tasks_shown":6,"n_tasks":6,"usage_by_year":[{"year":"2014","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/spp-net"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}