Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sucheng Ren"'
Publikováno v:
IEEE MultiMedia. :1-11
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-8
Data mixing (e.g., Mixup, Cutmix, ResizeMix) is an essential component for advancing recognition models. In this paper, we focus on studying its effectiveness in the self-supervised setting. By noticing the mixed images that share the same source ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8615d45573480d8bb8e1ca1a9f53b87e
http://arxiv.org/abs/2206.07692
http://arxiv.org/abs/2206.07692
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197864
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a85d49b1a9aae03fb654035f3b3ccbbd
https://doi.org/10.1007/978-3-031-19787-1_5
https://doi.org/10.1007/978-3-031-19787-1_5
Autor:
Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200526
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c2ca76874ea5506001dc9c88c5ce599
https://doi.org/10.1007/978-3-031-20053-3_24
https://doi.org/10.1007/978-3-031-20053-3_24
Publikováno v:
CVPR
This paper tackles the task of Few-Shot Video Object Segmentation (FSVOS), i.e., segmenting objects in the query videos with certain class specified in a few labeled support images. The key is to model the relationship between the query videos and th
Publikováno v:
CVPR
Unsupervised video object segmentation (UVOS) aims at segmenting the primary objects in videos without any human intervention. Due to the lack of prior knowledge about the primary objects, identifying them from videos is the major challenge of UVOS.
Publikováno v:
CVPR
Lip reading aims to predict the spoken sentences from silent lip videos. Due to the fact that such a vision task usually performs worse than its counterpart speech recognition, one potential scheme is to distill knowledge from a teacher pretrained by
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585570
ECCV (5)
ECCV (5)
In this paper, we propose a simple yet effective approach, named Triple Excitation Network, to reinforce the training of video salient object detection (VSOD) from three aspects, spatial, temporal, and online excitations. These excitation mechanisms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfc071a0de1031e9817b110bc263d0b0
https://doi.org/10.1007/978-3-030-58558-7_13
https://doi.org/10.1007/978-3-030-58558-7_13