{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T01:00:41Z","timestamp":1730250041561,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T00:00:00Z","timestamp":1721001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T00:00:00Z","timestamp":1721001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,15]]},"DOI":"10.1109\/icme57554.2024.10688015","type":"proceedings-article","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T17:24:16Z","timestamp":1727717056000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["High-Fidelity Lake Extraction Via Two-Stage Prompt Enhancement: Establishing A Novel Baseline and Benchmark"],"prefix":"10.1109","author":[{"given":"Ben","family":"Chen","sequence":"first","affiliation":[{"name":"Qinghai University,Department of Computer Technology and Applications,Xining,China"}]},{"given":"Xuechao","family":"Zou","sequence":"additional","affiliation":[{"name":"Qinghai University,Department of Computer Technology and Applications,Xining,China"}]},{"given":"Kai","family":"Li","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Computer Science and Technology,Beijing,China"}]},{"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Qinghai University,Department of Computer Technology and Applications,Xining,China"}]},{"given":"Junliang","family":"Xing","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Computer Science and Technology,Beijing,China"}]},{"given":"Pin","family":"Tao","sequence":"additional","affiliation":[{"name":"Qinghai University,Department of Computer Technology and Applications,Xining,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/20964471.2020.1766180"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/rs13204121"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/17538947.2022.2159552"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/rs12121937"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/rs12244140"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","first-page":"1251","article-title":"Xception: Deep learning with depth-wise separable convolutions","volume-title":"CVPR","author":"Chollet"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446785"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/rs14194983"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"ICLR","author":"Dosovitskiy","key":"ref11"},{"key":"ref12","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"NeurIPS"},{"key":"ref13","first-page":"23716","article-title":"Flamingo: a visual language model for few-shot learning","volume":"35","author":"Alayrac","year":"2022","journal-title":"NeurIPS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.33540\/2168"},{"key":"ref15","first-page":"24824","article-title":"Chain-of- thought prompting elicits reasoning in large language models","volume":"35","author":"Wei","year":"2022","journal-title":"NeurIPS"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2024.3356074"},{"key":"ref17","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","author":"Ester","year":"1996","journal-title":"KDD"},{"key":"ref18","first-page":"7537","article-title":"Fourier features let networks learn high frequency functions in low dimensional domains","volume":"33","author":"Tancik","year":"2020","journal-title":"NeurIPS"},{"article-title":"Bridging nonlinearities and stochastic regularizers with gaussian error linear units","year":"2016","author":"Hendrycks","key":"ref19"},{"key":"ref20","first-page":"12077","article-title":"Segformer: Simple and efficient design for semantic segmentation with transformers","volume":"34","author":"Xie","year":"2021","journal-title":"NeurIPS"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01055"},{"key":"ref22","first-page":"1140","article-title":"Segnext: Rethinking convolutional attention design for semantic segmentation","volume":"35","author":"Guo","year":"2022","journal-title":"NeurlPS"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00061"},{"volume-title":"MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark","year":"2020","key":"ref24"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2015.02.007"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2018.161"}],"event":{"name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2024,7,15]]},"location":"Niagara Falls, ON, Canada","end":{"date-parts":[[2024,7,19]]}},"container-title":["2024 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10685847\/10687354\/10688015.pdf?arnumber=10688015","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T06:37:43Z","timestamp":1727764663000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10688015\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,15]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icme57554.2024.10688015","relation":{},"subject":[],"published":{"date-parts":[[2024,7,15]]}}}