Results 11 to 20 of about 5,835,263 (236)
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
CoRR, 2022 This work introduces RevSilo, the first reversible bidirectional multi-scale feature fusion module. Like other reversible methods, RevSilo eliminates the need to store hidden activations by recomputing them. However, existing reversible methods do not apply to multi-scale feature fusion and are, therefore, not applicable to a large class of networks ...
Vitaliy Chiley +5 more
openaire +5 more sources
Gated bidirectional feature pyramid network for accurate one-shot detection [PDF]
Machine Vision and Applications, 2019 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. in Proceedings of winter conference on applications of computer vision (WACV), 2018), one of the strongest one-stage detectors, tackles this issue by using a SSD in ...
Sanghyun Woo +3 more
openaire +3 more sources
RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation [PDF]
CoRR, 2023 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. However, they still have limitations in representing multi-scale features and generalization capability.
Nguyen Hoang Thuan +4 more
core +5 more sources
Environmental Research Communications, 2023 Abstract 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 Multi-scale YOLO v5 detection network to detect and classify the rice crop ...
V Senthil Kumar +4 more
openaire +3 more sources
Research on Mask-Wearing Detection Algorithm Based on Improved YOLOv5
Sensors, 2022 COVID-19 is highly contagious, and proper wearing of a mask can hinder the spread of the virus. However, complex factors in natural scenes, including occlusion, dense, and small-scale targets, frequently lead to target misdetection and missed detection ...
Shuyi Guo +4 more
doaj +1 more source
A Detection Approach for Floating Debris Using Ground Images Based on Deep Learning
Remote Sensing, 2022 Floating debris has a negative impact on the quality of the water as well as the aesthetics of surface waters. Traditional image processing techniques struggle to adapt to the complexity of water due to factors such as complex lighting conditions ...
Guangchao Qiao, Mingxiang Yang, Hao Wang
doaj +1 more source
On Image Ｒecognition Using Bidirectional Feature Pyramid and Deep Neural Network
Journal of Harbin University of Science and Technology, 2021 Object recognition is one of the fundamental tasks in the area of computer vision. The development of deep neural networks advances the object recognition. Nonetheless，multi-scale object recognition still remains to be a challenging task.
ZHAO Sheng, ZHAO Li
doaj +1 more source
ReBiDet: An Enhanced Ship Detection Model Utilizing ReDet and Bi-Directional Feature Fusion
Applied Sciences, 2023 To enhance ship detection accuracy in the presence of complex scenes and significant variations in object scales, this study introduces three enhancements to ReDet, resulting in a more powerful ship detection model called rotation-equivariant ...
Zexin Yan +5 more
doaj +1 more source
Object detection based on Yolov4-Tiny and Improved Bidirectional feature pyramid network
Journal of Physics: Conference Series, 2022 AbstractIn the field of small object detection, Yolov4-Tiny is inadequate in feature extraction and does not make best of multi-scale features. In this paper, an improved BiFPN framework is proposed based on Yolov4-Tiny to increase object detection precision.
Qi Liu +4 more
openaire +1 more source
Dual-Stream Pyramid Registration Network [PDF]
, 2022 We propose a Dual-Stream Pyramid Registration Network (referred as Dual-PRNet) for unsupervised 3D medical image registration. Unlike recent CNN-based registration approaches, such as VoxelMorph, which explores a single-stream encoder-decoder network to ...
Scott, Matthew R. +5 more
core +2 more sources