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pro vyhledávání: '"Qianchong Sun"'
As we all know, many more dynamic objects appear almost continuously in real world, which are immensely able to impair the performance of the majority of vision-based SLAM systems that are based on the static-world assumption. In order to improve the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c32664599ba9cf81691c8cd00b5dc54b
https://doi.org/10.20944/preprints202305.2072.v1
https://doi.org/10.20944/preprints202305.2072.v1
Publikováno v:
International Journal on Artificial Intelligence Tools. 31
Facing the scale variation challenge in the topic of object detection, in this papers we design feature fusion methods to improve the representation ability of features. The proposed network, Feature Fusion Network (FFNet), contains mainly two parts:
Publikováno v:
Optical Engineering. 60
Publikováno v:
ICTAI
This paper proposes a novel single shot network for object detection. The proposed network, termed IDNet, explores the strategies of the feature fusion to alleviate the scale variation problem in object detection. IDNet mainly consists of two feature
Publikováno v:
IJCNN
Scale variation is one of the important challenges in object detection. Many state-of-the-art objectors tackle this problem by utilizing the feature pyramids. However, the current methods of producing feature pyramids are still inefficient to integra