Results 11 to 20 of about 23,891 (225)
UAV remote sensing (RS) image object detection is a very valuable and challenging technology. This article discusses the importance of key features and proposes an object detection network (URSNet) based on a bidirectional multi-span feature pyramid and ...
Heng Zhang +5 more
doaj +6 more sources
Occlusion removal in light-field images remains a significant challenge, particularly when dealing with large occlusions. An architecture based on end-to-end learning is proposed to address this challenge that interactively combines CSPDarknet53 and the ...
Mostafa Farouk Senussi, Hyun-Soo Kang
doaj +5 more sources
Bidirectional Parallel Feature Pyramid Network for Object Detection
State-of-the-art Feature Pyramid Networks (FPNs) often focus on extracting features across different levels. In this paper, we propose a novel architecture, Bidirectional Parallel Feature Pyramid Network (BPFPN), to capture multi-scale spatial ...
Zhengning Zhang +4 more
doaj +5 more sources
Early breast cancer detection in CT scans using convolutional neural bidirectional feature pyramid network [PDF]
Breast cancer is one of the leading causes of death among women worldwide. Early detection plays a crucial role in reducing mortality rates. While mammography is a widely used diagnostic tool, computed tomography (CT) scans are increasingly being ...
Tahani Jaser Alahmadi +5 more
doaj +6 more sources
Towards Accurate Scene Text Detection with Bidirectional Feature Pyramid Network [PDF]
Scene text detection, this task of detecting text from real images, is a hot research topic in the machine vision community. Most of the current research is based on an anchor box. These methods are complex in model design and time-consuming to train. In
Dongping Cao, Jiachen Dang, Yong Zhong
semanticscholar +3 more sources
In this paper, based on a bidirectional parallel multi-branch feature pyramid network (BPMFPN), a novel one-stage object detector called BPMFPN Det is proposed for real-time detection of ground multi-scale targets by swarm unmanned aerial vehicles (UAVs).
Lei Fu +5 more
doaj +5 more sources
Gated bidirectional feature pyramid network for accurate one-shot detection [PDF]
Despite recent advances in machine learning, it is still challenging to realize real-time and accurate detection in images. The recently proposed StairNet detector (Sanghyun et al.
Sanghyun Woo +3 more
semanticscholar +3 more sources
RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation [PDF]
Automatic and accurate segmentation of colon polyps is essential for early diagnosis of colorectal cancer. Advanced deep learning models have shown promising results in polyp segmentation.
N. Thuan +4 more
semanticscholar +4 more sources
To ensure higher quality, capacity, and production of rice, it is vital to diagnose rice leaf disease in its early stage in order to decrease the usage of pesticides in agriculture which in turn avoids environmental damage. Hence, this article presents a
V. S. Kumar +4 more
semanticscholar +4 more sources
Mural image recognition plays a critical role in the digital preservation of cultural heritage; however, it faces cross-cultural and multi-period style generalization challenges, compounded by limited sample sizes and intricate details, such as losses ...
Shulan Wang +3 more
doaj +5 more sources

