Results 221 to 230 of about 74,666 (264)

Monocular Depth Estimation With Multi-Scale Feature Fusion

IEEE Signal Processing Letters, 2021
Depth estimation from a single image is a crucial but challenging task for reconstructing 3D structures and inferring scene geometry. However, most existing methods fail to extract more detailed information and estimate the distant small-scale objects well.
Xianfa Xu, Zhe Chen 0005, Fuliang Yin
openaire   +1 more source

Multi-scale hierarchical feature fusion network for change detection

Pattern Recognition
A K Qin, Maoguo Gong, Fenlong Jiang
exaly   +2 more sources

Multi-Scale Deep Feature Fusion for Vehicle Re-Identification

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Vehicle re-identification (re-id) is challenging due to the small inter-class distance. The differences between similar vehicles can be extremely subtle and only captured at particular scales and semantic levels. In this paper, we propose a novel Multi-Scale Deep Feature Fusion Network (MSDeep) to conduct both multi-scale and multi-level features for ...
Yiting Cheng 0001, Chuanfa Zhang, Kangzheng Gu, Lizhe Qi, Zhongxue Gan, Wenqiang Zhang   +5 more
openaire   +1 more source

Adaptive fusion with multi-scale features for interactive image segmentation

Applied Intelligence, 2021
Multi-scale features are usually utilized to improve the performance of interactive image segmentation, however, they have varying leverages over the result of segmentation, for example, thinner segmentation results could be achieved by pixel-level features, but sensitive to image noise, and superpixel-level features could provide the semantic ...
Zongyuan Ding, Tao Wang 0020, Quansen Sun, Hongyuan Wang   +3 more
openaire   +1 more source

Exploring Multi-scale Deep Feature Fusion for Object Detection

2018
The ability to extract the discriminative features remains a fundamental task of object detection, especially for small objects. Many mainstream object detection models, use the feature pyramids structure, a kind of fusion approaches, to predict objects of different scales. This traditional fusion strategy aims to merge different feature maps by linear
Quan Zhang, Jianhuang Lai, Xiaohua Xie, Jun-Yong Zhu   +3 more
openaire   +1 more source

Drone Detection Based on Multi-scale Feature Fusion

2021 International Conference on UK-China Emerging Technologies (UCET), 2021
Zhenni Zeng, Zhenning Wang, Lang Qin, Hui Li   +3 more
openaire   +1 more source

MFANet: Multi-scale feature fusion network with attention mechanism

The Visual Computer, 2022
Gaihua Wang, Xin Gan, Qingcheng Cao, Qianyu Zhai   +3 more
openaire   +1 more source

Classification of crop pests based on multi-scale feature fusion

Computers and Electronics in Agriculture, 2022
Depeng Wei, Jiqing Chen, Tian Luo, Teng Long, Huabin Wang   +4 more
openaire   +1 more source

Lightweight silkworm recognition based on Multi-scale feature fusion

Computers and Electronics in Agriculture, 2022
Chunming Wen, Jie Wen, Jianheng Li, Yunyun Luo, Minbo Chen, Zhanpeng Xiao, Qing Xu, Xiang Liang, Hui An   +8 more
openaire   +1 more source

Multi-Scale Adaptive Feature Fusion Network for Raindrop Removal

2021 4th International Conference on Artificial Intelligence and Pattern Recognition, 2021
Feng Chen 0041, Chenwei Wu 0005, Yuzhen Niu   +2 more
openaire   +1 more source