{"url":"/method/daspp","slug":"daspp","name":"DASPP","full_name":"Deeper Atrous Spatial Pyramid Pooling","full_name_withheld":false,"description_markdown":"DASPP is a deeper version of the [ASPP](https://paperswithcode.com/method/aspp) module (the latter from [DeepLabv3](https://paperswithcode.com/method/deeplabv3)) that adds standard 3 × 3 [convolution](https://paperswithcode.com/method/convolution) after 3 × 3 dilated convolutions to refine the features and also fusing the input and the output of the DASPP module via short [residual connection](https://paperswithcode.com/method/residual-connection). Also, the number of convolution filters of ASPP is reduced from 255 to 96 to gain computational performance.","description_state":"present","introduced_year":null,"introduced_by":{"title":"LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation","paper":"/paper/liteseg-a-novel-lightweight-convnet-for","first_author":"Taha Emara","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/liteseg-a-novel-lightweight-convnet-for"},"source":{"url":"https://arxiv.org/abs/1912.06683v1","title":"LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation","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":"Semantic Segmentation Modules","url":"/methods/category/semantic-segmentation-modules","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/liteseg-a-novel-lightweight-convnet-for","title":"LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation","date":"2019-12-13","arxiv_id":"1912.06683","n_code_links":2,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/computational-efficiency","name":"Computational Efficiency","papers":1},{"task":"/task/image-segmentation","name":"Image Segmentation","papers":1},{"task":"/task/medical-image-analysis","name":"Medical Image Analysis","papers":1},{"task":"/task/real-time-semantic-segmentation","name":"Real-Time Semantic Segmentation","papers":1},{"task":"/task/segmentation","name":"Segmentation","papers":1},{"task":"/task/semantic-segmentation","name":"Semantic Segmentation","papers":1}],"tasks_shown":6,"n_tasks":6,"usage_by_year":[{"year":"2019","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/daspp"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}