| 查看: 8660 | 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
材料与化工一志愿南昌大学327求调剂推荐
已经有5人回复
-
290求调剂
已经有8人回复
-
274求调剂
已经有4人回复
-
327求调剂
已经有8人回复
-
26考研一志愿中国石油大学(华东)305分求调剂
已经有3人回复
-
伙伴们，祝我生日快乐吧
已经有23人回复
-
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
» 抢金币啦！回帖就可以得到:
-
深圳技术大学集成电路与光电芯片学院郝俊杰课题组诚聘博士后、研究助理、访问学生
+2/152
-
重庆医科大学神经科学中心/病生与生理系诚邀海内外优秀博士加盟博士后队伍（长期）
+1/86
-
福建师范大学招收2026年化学、材料硕士3-4名
+1/83
-
本安ia MFC用于危险石化环境下的乙炔脱除工艺的精准取样-艾里卡特 (Alicat)
+2/70
-
加拿大阿尔伯塔大学招收电磁、无线通信、机器学习方向全奖硕士/博士/博士后/访问学者
+1/59
-
欢迎报读澳门大学中药机制与质量研究全国重点实验室硕士研究生
+1/37
-
招硕士调剂生
+2/36
-
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）
+1/34
-
清华大学环境学院贺克斌院士团队招聘博士后
+1/33
-
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
-
湖北省属重点大学招收2026年材料、化学、物理背景硕士
+2/26
-
国家级领军人才团队高分子材料方向2026年博士研究生招生
+1/16
-
【全奖招生】北师港浸大ESLAS实验室招收密码工程/网络安全/计算机视觉博士/博士后
+1/12
-
26年博士招生
+1/6
-
【神经生物学考博求助】
+1/5
-
发paper
+1/5
-
澳洲维多利亚大学计算机类全额奖学金博士招生 （邮箱+微信可联系）
+1/4
-
招收理论凝聚态物理/纳米光学/量子计算方向博士、硕士研究生/博士后
+1/2
-
【长期有效】西安交通大学物理学院徐文涛凝聚态理论课题组招收博士和硕士生
+1/2
-
中科院天津工业生物技术所与哈尔滨工业大学联合博士招生2026
+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 |
49楼2020-04-15 02:54:06
★
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
