| 查看: 8642 | 回复: 112 | |||||
| 【有奖交流】积极回复本帖子，参与交流，就有机会分得作者 sig102657 的 776 个金币 ，回帖就立即获得 2 个金币，每人有 1 次机会 | |||||
| 当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖 | |||||
[交流]
Call for Papers (IEEE Transactions on Neural Networks and Learning Systems Speci
|
|||||
IEEE Transactions on Neural Networks and Learning Systems Call for Papers Special Issue on Effective Feature Fusion in Deep Neural Networks https://cis.ieee.org/images/file ... efdnn_tnnls_cfp.pdf Submission deadline: nov. 30, 2020. first notification: feb. 1, 2021 ================================================================================ Due to the powerful ability of learning hierarchical features, Deep Deural Detworks (DNNs) have achieved great success in many intelligent perception systems with image data and/or point cloud data and have been widely used in developing robust automotive driving, visual surveillance, and human-machine interaction. For example, state-of-the-art performances in image classification, object detection, semantic segmentation, and cross-modal perception are obtained by different kinds of DNNs. To a great degree, the success of DNNs stems from properly fusing the hierarchical features which are diverse in semantic-levels, resolutions/scales, roles, sensitivity, and so on. Representative fusion schemes include dense connection, residual learning, skip connection, top-down feature pyramid, and attention-based feature weighting. However, there is a large room for developing more effective feature fusion to improve the performance of dnns so that machine perception can approach or exceed human perception. This special issue focuses on investigating problems and phenomena of existing feature fusion schemes, tackling the challenges of semantic gap and perception of hard objects and scenarios, and providing new ideas, theories, solutions, and insights for effective feature fusion in DNNs for image and/or point cloud data. The topics of interest include, but are not limited to: n Feature fusion for effective backbones and prediction n Feature fusion for image/video data using deep neural networks n Feature fusion for point cloud data using deep neural networks n Adaptive feature fusion networks n Criteria and loss functions for feature fusion in deep neural networks n Feature fusion for detecting/recognizing small objects n Feature fusion for detecting/recognizing occluded objects n Attention-based feature fusion in deep neural networks n Visualization and interpretation of feature fusion n Feature fusion for semantic segmentation n Feature fusion for object tracking n Feature fusion for cross-modal/domain learning n Feature fusion for 3D object detection n New feature fusion problems and applications IMPORTANT DATAS n November 30, 2020: Deadline for manuscript submission n February 1, 2021: Reviewer’s comments to authors n April 1, 2021: Submission deadline of revisions n June 1, 2021: Final decisions to authors n July 1, 2021: Publication date (Early access) GUEST EDITORS Yanwei Pang, Tianjin University, China, pyw@tju.edu.cn Fahad Shahbaz Khan, Inception Institute of Artificial Intelligence, UAE, fahad.khan@liu.se Xin Lu, Adobe Inc., USA, xinl@adobe.com Fabio Cuzzolin, Oxford Brookes University, UK, fabio.cuzzolin@brookes.ac.uk SUBMISSION INSTRUCTIONS n Read the Information for Authors at https://cis.ieee.org/tnnls. n Submit your manuscript at the TNNLS webpage (https://mc.manuscriptcentral.com/tnnls) and follow the submission procedure. Please, clearly indicate on the first page of the manuscript and in the cover letter that the manuscript is submitted to this special issue. Send an email to the leading editor Prof. Yanwei Pang (pyw@tju.edu.cn) with subject “TNNLS special issue submission” to notify your submission. n Early submissions are welcome. We will start the review process as soon as we receive your contributions. |
回复此楼» 本帖附件资源列表
-
欢迎监督和反馈：小木虫仅提供交流平台，不对该内容负责。
本内容由用户自主发布，如果其内容涉及到知识产权问题，其责任在于用户本人，如对版权有异议，请联系邮箱：xiaomuchong@tal.com - 附件 1 : TNNLS_CFP.pdf
2020-04-11 12:34:43, 220.23 K
» 猜你喜欢
NSFC申报书里申请人简历中代表性论著还需要在申报书最后的附件里面再上传一遍吗
已经有13人回复
-
0856专硕279求调剂
已经有5人回复
-
本人考085602 化学工程 专硕
已经有7人回复
-
22408总分284求调剂
已经有3人回复
-
070305求调剂
已经有4人回复
-
材料专硕326求调剂
已经有4人回复
-
294求调剂
已经有4人回复
-
085601材料工程315分求调剂
已经有3人回复
-
311求调剂
已经有3人回复
-
东华理工大学化材专业26届硕士博士申请
已经有5人回复
» 抢金币啦！回帖就可以得到:
-
山东征女友，坐标济南
+1/200
-
招收调剂生，动物医学、水产养殖、水产动物医学等专业
+1/84
-
厦门大学电池工况表征博士后招聘（固态电池 / 层状氧化物正极 / 原位-工况表征方向）
+1/78
-
0854电子信息调剂，集成电路，芯片方向，闽南师范大学光电芯片研发实验室
+1/36
-
中科院生态环境研究中心国重实验室招聘客座研究生1-2名
+1/33
-
华南师范大学（211）博士招生- 电子、自动化、机械、生物学、物理相关专业
+1/30
-
2026年上海大学王亮课题组招收电催化或光催化研究背景的博士生
+2/22
-
青岛科技大学0860 调剂招生
+1/13
-
青岛科技大学可持续高分子团队 考研招生
+1/9
-
太原理工大学博士招生 膜分离和吸附分离方向
+1/9
-
西京学院土木水利 2026 级研究生招生相关说明
+1/8
-
课题组招收环境及相关专业调剂硕士研究生（欢迎优秀学生加入）
+1/8
-
南京林业大学有机功能分子实验室博士生招生启事
+1/8
-
重庆大学药学院闫海龙课题组拟招收2026年申请考核制博士研究生
+1/6
-
层流压差式流量测控产品在大气运维采样流量校准中的应用与优势
+1/2
-
大湾区大学-哈尔滨工业大学（深圳）联培博士招生
+1/2
-
招收环工、环科、化工、应化、化学、生工、生物、材化等相关专业研究生，要求过国家线
+1/2
-
五邑大学环境与化学化工学院欢迎化学、化工、材料背景考生报考
+1/1
-
温州大学招收2026年入学博士研究生（化学、材料、环境）
+1/1
-
澳大利亚科学院院士Prof.Gordon Wallace, University of Wollongong 全奖博士机会
+1/1
★
sig102657(金币+2): 谢谢参与
sig102657(金币+2): 谢谢参与
|
本帖内容被屏蔽 |
19楼2020-04-14 23:04:46
★
sig102657(金币+2): 谢谢参与
sig102657(金币+2): 谢谢参与
 本帖仅楼主可见 |
3楼2020-04-11 12:48:50
★
sig102657(金币+2): 谢谢参与
sig102657(金币+2): 谢谢参与
|
本帖内容被屏蔽 |
11楼2020-04-14 23:04:46
★
sig102657(金币+2): 谢谢参与
sig102657(金币+2): 谢谢参与
|
本帖内容被屏蔽 |
12楼2020-04-14 23:04:46
简单回复
tzynew2楼
2020-04-11 12:35
回复
sig102657(金币+2): 谢谢参与
9 发自小木虫Android客户端
qian19504楼
2020-04-11 12:54
回复
sig102657(金币+2): 谢谢参与
， 发自小木虫Android客户端
待鹰归来5楼
2020-04-11 15:06
回复
sig102657(金币+2): 谢谢参与
， 发自小木虫Android客户端
greenfly6楼
2020-04-11 15:15
回复
sig102657(金币+2): 谢谢参与
e 发自小木虫IOS客户端
nono20098楼
2020-04-11 20:49
回复
sig102657(金币+2): 谢谢参与
。 发自小木虫Android客户端
2020-04-13 07:25
回复
adsl987610楼
2020-04-13 19:05
回复
sig102657(金币+2): 谢谢参与
哦 发自小木虫Android客户端
