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Mạng Mặt Dày: Một Trình Phát Hiện Mặt Dày Dựa Trên Ngữ Cảnh Toàn Cục Và Cơ Chế Chú Ý Thị Giác Dịch bởi AI
Springer Science and Business Media LLC - Tập 19 - Trang 247-256 - 2022
Lin Song, Jin-Fu Yang, Qing-Zhen Shang, Ming-Ai Li
Phát hiện khuôn mặt đã đạt được nhiều bước tiến lớn nhờ vào các mạng nơ-ron tích chập. Tuy nhiên, phát hiện khuôn mặt dày vẫn là một thách thức đang mở do sự biến đổi quy mô khuôn mặt lớn, khuôn mặt nhỏ và sự che khuất nghiêm trọng. Bài báo này trình bày một trình phát hiện khuôn mặt dày mạnh mẽ sử dụng ngữ cảnh toàn cục và các cơ chế chú ý thị giác có thể cải thiện đáng kể độ chính xác của việc p... hiện toàn bộ
#Phát hiện khuôn mặt #mạng nơ-ron tích chập #ngữ cảnh toàn cục #chú ý thị giác #che khuất
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches
Springer Science and Business Media LLC - Tập 19 - Trang 350-365 - 2022
Yi-Jun Zhang, Zhao-Fei Yu, Jian. K. Liu, Tie-Jun Huang
Vision plays a peculiar role in intelligence. Visual information, forming a large part of the sensory information, is fed into the human brain to formulate various types of cognition and behaviours that make humans become intelligent agents. Recent advances have led to the development of brain-inspired algorithms and models for machine vision. One of the key components of these methods is the util... hiện toàn bộ
Stability and Generalization of Hypergraph Collaborative Networks
Springer Science and Business Media LLC - Tập 21 - Trang 184-196 - 2024
Michael K. Ng, Hanrui Wu, Andy Yip
Graph neural networks have been shown to be very effective in utilizing pairwise relationships across samples. Recently, there have been several successful proposals to generalize graph neural networks to hypergraph neural networks to exploit more complex relationships. In particular, the hypergraph collaborative networks yield superior results compared to other hypergraph neural networks for vari... hiện toàn bộ
Optimal Strategy for Aircraft Pursuit-evasion Games via Self-play Iteration
Springer Science and Business Media LLC - - Trang 1-12 - 2024
Xin Wang, Qing-Lai Wei, Tao Li, Jie Zhang
In this paper, the pursuit-evasion game with state and control constraints is solved to achieve the Nash equilibrium of both the pursuer and the evader with an iterative self-play technique. Under the condition where the Hamiltonian formed by means of Pontryagin’s maximum principle has the unique solution, it can be proven that the iterative control law converges to the Nash equilibrium solution. ... hiện toàn bộ
Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion
Springer Science and Business Media LLC - Tập 20 - Trang 435-446 - 2023
Jianing Han, Ziming Wang, Jiangrong Shen, Huajin Tang
The artificial neural network-spiking neural network (ANN-SNN) conversion, as an efficient algorithm for deep SNNs training, promotes the performance of shallow SNNs, and expands the application in various tasks. However, the existing conversion methods still face the problem of large conversion error within low conversion time steps. In this paper, a heuristic symmetric-threshold rectified linear... hiện toàn bộ
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
Springer Science and Business Media LLC - Tập 20 - Trang 822-836 - 2023
Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Deng-Ping Fan, Radu Timofte, Luc Van Gool
While recent years have witnessed a dramatic upsurge of exploiting deep neural networks toward solving image denoising, existing methods mostly rely on simple noise assumptions, such as additive white Gaussian noise (AWGN), JPEG compression noise and camera sensor noise, and a general-purpose blind denoising method for real images remains unsolved. In this paper, we attempt to solve this problem f... hiện toàn bộ
Facial-sketch Synthesis: A New Challenge
Springer Science and Business Media LLC - Tập 19 - Trang 257-287 - 2022
Deng-Ping Fan, Ziling Huang, Peng Zheng, Hong Liu, Xuebin Qin, Luc Van Gool
This paper aims to conduct a comprehensive study on facial-sketch synthesis (FSS). However, due to the high cost of obtaining hand-drawn sketch datasets, there is a lack of a complete benchmark for assessing the development of FSS algorithms over the last decade. We first introduce a high-quality dataset for FSS, named FS2K, which consists of 2 104 image-sketch pairs spanning three types of sketch... hiện toàn bộ
Video Polyp Segmentation: A Deep Learning Perspective
Springer Science and Business Media LLC - Tập 19 - Trang 531-549 - 2022
Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Luc Van Gool
We present the first comprehensive video polyp segmentation (VPS) study in the deep learning era. Over the years, developments in VPS are not moving forward with ease due to the lack of a large-scale dataset with fine-grained segmentation annotations. To address this issue, we first introduce a high-quality frame-by-frame annotated VPS dataset, named SUN-SEG, which contains 158 690 colonoscopy vid... hiện toàn bộ
Pre-training in Medical Data: A Survey
Springer Science and Business Media LLC - Tập 20 - Trang 147-179 - 2023
Yixuan Qiu, Feng Lin, Weitong Chen, Miao Xu
Medical data refers to health-related information associated with regular patient care or as part of a clinical trial program. There are many categories of such data, such as clinical imaging data, bio-signal data, electronic health records (EHR), and multi-modality medical data. With the development of deep neural networks in the last decade, the emerging pre-training paradigm has become dominant... hiện toàn bộ
Continuous-time Distributed Heavy-ball Algorithm for Distributed Convex Optimization over Undirected and Directed Graphs
Springer Science and Business Media LLC - Tập 19 - Trang 75-88 - 2022
Hao-Ran Yang, Wei Ni
This paper proposes second-order distributed algorithms over multi-agent networks to solve the convex optimization problem by utilizing the gradient tracking strategy, with convergence acceleration being achieved. Both the undirected and unbalanced directed graphs are considered, extending existing algorithms that primarily focus on undirected or balanced directed graphs. Our algorithms also have ... hiện toàn bộ
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