| 查看: 8663 | 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:
-
专业技术开发及第三方检测
+1/87
-
物理学 调剂
+1/86
-
招收苏州国家实验室和苏州大学联合培养博士（2026年9月入学）
+1/82
-
福建师范大学招收2026年化学、材料硕士3-4名
+1/78
-
生殖医学与子代健康全国重点实验室遗传学课题组招收研究生(长期有效)
+1/35
-
广东工业大学管理科学与工程专业博士招生
+1/34
-
清华大学环境学院贺克斌院士团队招聘博士后
+1/33
-
厦门大学航空航天学院智能制造课题组招2026年申请审核制博士生1名
+1/22
-
江西理工大学稀土学院/国家稀土功能材料创新中心招收博士研究生和调剂硕士研究生
+1/17
-
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
+1/16
-
教育部长江学者和创新团队发展计划”入选团队招收 材料，化学与化工博士研究生
+1/9
-
英国埃克塞特大学 & 法国巴黎萨克雷大学联合培养博士
+1/8
-
上海科技大学物质学院招收有机化学方向2026级工程博士
+1/8
-
中国石油大学（北京）国家级大人才团队博士招生3名：化学、材料、石油工程：油田化学
+1/4
-
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
-
连发两篇 Nature！大样本单细胞测序解析认知、衰老与灵长类进化
+1/4
-
杭州北航国新院徐梁教授招聘博士（控制/机器视觉/机器人导航操作方向）
+1/2
-
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
-
哈工大马樱教授招收2026级计算机类、集成电路类博士生
+1/2
-
北京高校副校长团队招收机械类，环境类学硕和专硕
+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 |
29楼2020-04-15 00:21:05
★
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
