In order to address challenges such as small target sizes, low contrast, significant intra-class variations, and indistinct inter-class differences in surface defect detection, this paper proposes the Enhanced Context-aware Parallel Fusion Network (EC-PFN). The network employs a Featur Weave Network...
Previous methods have used multiscale feature fusion to solve this problem, but most of them are too rough to extract fine-grained features. In this paper, we propose a new coarse-to-fine granularity multiscale feature fusion network (C2F-MFF) to address this issue. C2F-MFF consists of ...
论文阅读《Self-Attention Guidance and Multiscale Feature Fusion-Based UAV Image Object Detection》 摘要 无人机(UAV)图像的目标检测是近年来研究的热点。现有的目标检测方法在一般场景上取得了很好的结果,但无人机图像存在固有的挑战。无人机图像的检测精度受到复杂背景、显著尺度差异和密集排列的小物体的限制。为...
Melanoma segmentation based on a convolutional neural network (CNN) has recently attracted extensive attention. However, the features captured by CNN are always local that result in discontinuous fea...
A novel multiscale dilated convolutional network (MSDC-Net) is proposed against the scale difference of lesions and the low contrast between lesions and normal tissues in CT images. In our MSDC-Net, we propose a multiscale feature capture block (MSFCB) to effectively capture multiscale features...
we propose a dual-domain and multiscale fusion deep neural network (DMFDNN) for PPG biometric recognition. The DMFDNN is mainly composed of a two-branch deep learning framework for PPG biometrics, which can learn the time-varying and multiscale discriminative features from the time and frequency...
Multimodal Attention-Enhanced Feature Fusion-based Weekly Supervised Anomaly Violence Detection Weakly supervised video anomaly detection (WS-VAD) is a crucial area in computer vision for developing intelligent surveillance systems. This system uses t... Y Kaneko,ASM Miah,N Hassan,... 被引量: 0发表...
which leads to the low expression recognition rate, a method of facial expression recognition based on multi-scale feature fusion attention mechanism is propo... Y Lou 被引量: 0发表: 2023年 Facial Expression Recognition Based on Multi-Channel Attention ResidualNetwork For the problems of complex ...
multiscale features are obtained based on a feature pyramid fusion network to ensure the accurate capture of small cells; then, based on the Faster region-based convolutional neural network (R-CNN), adaptive cervical cancer cell anchors are generated via unsupervised clustering. Furthermore, a new...
Compared with existing methods that only consider global features, we successfully leverage local feature awareness in our network with the help of multiscale feature fusion and cross-regional attention. The tests on both manually made and real sensor generated data show that our network is able to...