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The underlying convolutional\nrepresentation is fully shared between the two sub-tasks, as well as between\nall regions of interest. The proposed network is highly integrated and achieves\nstate-of-the-art performance in both accuracy and efficiency. It wins the COCO\n2016 segmentation competition by a large margin. Code would be released at\n\\url{https://github.com/daijifeng001/TA-FCN}.","url_abs":"http://arxiv.org/abs/1611.07709v2","url_pdf":"http://arxiv.org/pdf/1611.07709v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"fully-convolutional-instance-aware-semantic","repo_url":"https://github.com/daijifeng001/TA-FCN","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"fully-convolutional-instance-aware-semantic","repo_url":"https://github.com/msracver/FCIS","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"fully-convolutional-instance-aware-semantic","repo_url":"https://github.com/divamgupta/image-segmentation-keras","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"instance-segmentation","task_name":"Instance Segmentation"},{"task_slug":"segmentation","task_name":"Segmentation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/instance-segmentation-on-coco","task":"Instance Segmentation","dataset":"COCO test-dev","model":"FCIS+++  +OHEM","rank_in_archive_order":100,"of":112,"metrics":{"AP50":"54.5%","mask AP":"33.6%"},"uses_additional_data":false},{"leaderboard":"/sota/instance-segmentation-on-coco","task":"Instance Segmentation","dataset":"COCO test-dev","model":"FCIS  +OHEM","rank_in_archive_order":105,"of":112,"metrics":{"AP50":"49.5%","APL":"50.0%","APM":"31.3%","APS":"7.1%","mask AP":"29.2%"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1611.07709","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1611.07709"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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