{"url":"/method/elastic-dense-block","slug":"elastic-dense-block","name":"Elastic Dense Block","full_name":"Elastic Dense Block","full_name_withheld":false,"description_markdown":"**Elastic Dense Block** is a skip connection block that modifies the [Dense Block](https://paperswithcode.com/method/dense-block) with downsamplings and upsamplings in parallel branches at each layer to let the network learn from a data scaling policy in which inputs are processed at different resolutions in each layer. It is called \"elastic\" because each layer in the network is flexible in terms of choosing the best scale by a soft policy.","description_state":"present","introduced_year":null,"introduced_by":{"title":"ELASTIC: Improving CNNs with Dynamic Scaling Policies","paper":"/paper/elastic-improving-cnns-with-instance-specific","first_author":"Huiyu Wang","n_authors":5,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/elastic-improving-cnns-with-instance-specific"},"source":{"url":"http://arxiv.org/abs/1812.05262v2","title":"ELASTIC: Improving CNNs with Dynamic Scaling Policies","url_on_a_paper_host":true},"code_snippet_url":"https://github.com/allenai/elastic/blob/57345c600c63fbde163c41929d6d6dd894d408ce/models/densenet.py#L9","code_snippet_url_on_a_code_host":true,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Image Model Blocks","url":"/methods/category/image-model-blocks","pwc_aliases":[]},{"area":"General","area_id":"general","collection":"Skip Connection Blocks","url":"/methods/category/skip-connection-blocks","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":2,"papers_newest_first":[{"paper":"/paper/cspnet-a-new-backbone-that-can-enhance","title":"CSPNet: A New Backbone that can Enhance Learning Capability of CNN","date":"2019-11-27","arxiv_id":"1911.11929","n_code_links":123,"syntology":null},{"paper":"/paper/elastic-improving-cnns-with-instance-specific","title":"ELASTIC: Improving CNNs with Dynamic Scaling Policies","date":"2018-12-13","arxiv_id":"1812.05262","n_code_links":1,"syntology":{"ran":1,"of":10,"unverified":9,"pointer_only":0}}],"papers_shown":2,"tasks":[{"task":"/task/attribute","name":"Attribute","papers":1},{"task":"/task/classification","name":"General Classification","papers":1},{"task":"/task/image-classification","name":"Image Classification","papers":1},{"task":"/task/multi-label-classification-2","name":"MUlTI-LABEL-ClASSIFICATION","papers":1},{"task":"/task/multi-label-classification","name":"Multi-Label Classification","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/semantic-segmentation","name":"Semantic Segmentation","papers":1}],"tasks_shown":8,"n_tasks":8,"usage_by_year":[{"year":"2018","papers":1},{"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/elastic-dense-block"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}