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pro vyhledávání: '"Duan, Bin"'
While Transformers have rapidly gained popularity in various computer vision applications, post-hoc explanations of their internal mechanisms remain largely unexplored. Vision Transformers extract visual information by representing image regions as t
Externí odkaz:
http://arxiv.org/abs/2403.14552
Segment Anything Model~(SAM), a prompt-driven foundation model for natural image segmentation, has demonstrated impressive zero-shot performance. However, SAM does not work when directly applied to medical image segmentation tasks, since SAM lacks th
Externí odkaz:
http://arxiv.org/abs/2403.14103
In this paper, we propose an online multi-spectral neuron tracing method with uniquely designed modules, where no offline training are required. Our method is trained online to update our enhanced discriminative correlation filter to conglutinate the
Externí odkaz:
http://arxiv.org/abs/2403.06251
With recent advances in computing hardware and surges of deep-learning architectures, learning-based deep image registration methods have surpassed their traditional counterparts, in terms of metric performance and inference time. However, these meth
Externí odkaz:
http://arxiv.org/abs/2307.09696
Query-focused meeting summarization (QFMS) aims to generate summaries from meeting transcripts in response to a given query. Previous works typically concatenate the query with meeting transcripts and implicitly model the query relevance only at the
Externí odkaz:
http://arxiv.org/abs/2303.04487
Optical flow estimation has been a long-lasting and fundamental problem in the computer vision community. However, despite the advances of optical flow estimation in perspective videos, the 360$^\circ$ videos counterpart remains in its infancy, prima
Externí odkaz:
http://arxiv.org/abs/2301.11880
Optical flow estimation in omnidirectional videos faces two significant issues: the lack of benchmark datasets and the challenge of adapting perspective video-based methods to accommodate the omnidirectional nature. This paper proposes the first perc
Externí odkaz:
http://arxiv.org/abs/2208.03620
Brain vessel image segmentation can be used as a promising biomarker for better prevention and treatment of different diseases. One successful approach is to consider the segmentation as an image-to-image translation task and perform a conditional Ge
Externí odkaz:
http://arxiv.org/abs/2207.08265
Relying on the premise that the performance of a binary neural network can be largely restored with eliminated quantization error between full-precision weight vectors and their corresponding binary vectors, existing works of network binarization fre
Externí odkaz:
http://arxiv.org/abs/2207.06540
Autor:
Hu, Junshan, Duan, Bin, Yao, Jiancheng, Luo, Tian, Wu, Yuxiang, Wang, Fengyi, Liu, Tong, Ding, Changchun, Fan, Qunchao, Fu, Hao
Publikováno v:
In Applied Materials Today October 2024 40