| 查看: 8637 | 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
-
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
+2/58
-
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
-
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
-
澳大利亚西澳大学（UWA）张金强课题组招收全奖博士生（化工新能源方向）
+1/27
-
诚聘助理研究员 - 物理/材料/机械相关专业博士
+2/24
-
山东省植物基蛋白技术创新中心课题组联合培养硕士研究生招募启事
+1/17
-
2026年西南科技大学功能涂层课题组简介
+1/16
-
中国科学院苏州纳米所院士团队博士后岗位招聘
+1/15
-
【实战型】【生物医药】2026青岛大学招博士生 含少数民族骨干计划2名！！！
+1/15
-
26年申博自荐-计算机视觉
+1/10
-
食品科学与工程083200-297分
+1/8
-
首次招收资格，招收工科调剂！
+1/5
-
国家杰青低维材料与器件力学团队2026年招收博士研究生
+1/4
-
大湾区大学-哈尔滨工业大学（深圳）联培博士招生
+1/2
-
南方科技大学基础免疫与微生物学系招聘科研助理1-2名，从事微生物与免疫学方向研究
+1/2
-
澳门理工大学人工智能药物发现中心招收2026级博士研究生（申请-考核制）
+1/1
-
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
-
哈尔滨工业大学（深圳）绿色化学团队招收2026年秋季入学博士生
+1/1
-
南方科技大学生命科学学院基础免疫与微生物学系招收博士后
+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 |
17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
