Results 31 to 40 of about 4,718,784 (295)

Ship Detection in SAR Images Based on Multiscale Feature Fusion and Channel Relation Calibration of Features

Leida xuebao, 2021
Deep-learning technology has enabled remarkable results for ship detection in SAR images. However, in view of the complex and changeable backgrounds of SAR ship images, how to accurately and efficiently extract target features and improve detection ...
Xueke ZHOU, Chang LIU, Bin ZHOU
doaj   +1 more source

Reverse channel attention module structure.

, 2021
Reverse channel attention module structure.
Yun Jiang (534502), Wenhuan Liu (11790744), Zeqi Ma (11790747), Jingyao Zhang (241197)   +3 more
core   +1 more source

Constrained Image Splicing Detection and Localization With Attention-Aware Encoder-Decoder and Atrous Convolution

IEEE Access, 2020
Constrained image splicing detection and localization (CISDL) is a newly formulated image forensics task and plays an important role in verifying the generating process of a forged image.
Yaqi Liu, Xianfeng Zhao
doaj   +1 more source

Gradient-Guided and Multi-Scale Feature Network for Image Super-Resolution

Applied Sciences, 2022
Recently, deep-learning-based image super-resolution methods have made remarkable progress. However, most of these methods do not fully exploit the structural feature of the input image, as well as the intermediate features from the intermediate layers ...
Jian Chen, Detian Huang, Xiancheng Zhu, Feiyang Chen   +3 more
doaj   +1 more source

The channel attention optimization module (CAOM).

, 2023
The channel attention optimization module (CAOM).
Ting Wang (16292), Tongyi Hu (14573391), Jin Wu (216487), Jun Li (6494), Shilan Chen (14573385), Junquan Tang (14573388), Xi Li (19208), Wenzhu Wu (14573394)   +7 more
core   +1 more source

Essays on Channel Deletion and Channel Contraction [PDF]

, 2022
With the advent of online, mobile, and social media channels, firms have an array of channels in their channel mix. The proliferation of channels has increased marketing costs and may be detrimental to a firm’s competitive position.
Kumar, Binay
core   +1 more source

Dual-Branch Attention-In-Attention Transformer for Single-Channel Speech Enhancement

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Curriculum learning begins to thrive in the speech enhancement area, which decouples the original spectrum estimation task into multiple easier sub-tasks to achieve better performance. Motivated by that, we propose a dual-branch attention-in-attention transformer dubbed DB-AIAT to handle both coarse- and fine-grained regions of the spectrum in parallel.
Guochen Yu, Andong Li, Chengshi Zheng, Yinuo Guo, Yutian Wang, Hui Wang 0070   +5 more
openaire   +4 more sources

Vehicle Detection Based on Adaptive Multimodal Feature Fusion and Cross-Modal Vehicle Index Using RGB-T Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Target detection is a critical task in interpreting aerial images. Small target detection, such as vehicles, is challenging. Different lighting conditions affect the accuracy of vehicle detection.
Yuanfeng Wu, Xinran Guan, Boya Zhao, Li Ni, Min Huang   +4 more
doaj   +1 more source

Structure diagram of efficient channel attention mechanism.

, 2023
Structure diagram of efficient channel attention mechanism.
Fei Ning (13277305), Wentao Li (1413067), Xiaopu Ma (15256643), He Li (176971), Jiangdan Shan (17271190)   +4 more
core   +1 more source

A Lightweight Convolutional Neural Network Based on Group-Wise Hybrid Attention for Remote Sensing Scene Classification

Remote Sensing, 2021
With the development of computer vision, attention mechanisms have been widely studied. Although the introduction of an attention module into a network model can help to improve classification performance on remote sensing scene images, the direct ...
Cuiping Shi, Xinlei Zhang, Jingwei Sun, Liguo Wang   +3 more
doaj   +1 more source