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ExtraDet With Quad Feature Pyramid Networks
2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020In this paper, we look at different architectures of feature pyramid networks and introduce a new one, namely, QuadFPN. We apply this FPN technique to the popular EfficientDet and obtain an improvement in performance by a minimum of 1.2% mAP on COCO dataset on each of the models under 10 million parameters (D0, D1, D2).
Shivam Raj, Natasha Sebastian, Raj Bisht
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Vertical feature pyramid networks
2021In this paper, a new scalable configuration is introduced for arranging Feature Pyramid Networks (FPNs) known as Vertical FPNs or VFPNs. Our work is an alternative approach to the one commonly employed for computer vision tasks.
Shivam Raj +2 more
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Attentional feature pyramid network for small object detection
Neural Networks, 2022Recent state-of-the-art detectors generally exploit the Feature Pyramid Networks (FPN) due to its advantage of detecting objects at different scales. Despite significant advances in object detection owing to the design of feature pyramids, it is still challenging to detect small objects with low resolution and dense distribution in complex scenes.
Kyungseo Min +2 more
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Dual attention based feature pyramid network
China Communications, 2020Object detection could be recognized as an essential part of the research to scenarios such as automatic driving and pedestrian detection, etc. Among multiple types of target objects, the identification of small-scale objects faces significant challenges.
Huijun Xing +3 more
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Tripartite Feature Enhanced Pyramid Network for Dense Prediction
IEEE Transactions on Image Processing, 2023Learning pyramidal feature representations is important for many dense prediction tasks (e.g., object detection, semantic segmentation) that demand multi-scale visual understanding. Feature Pyramid Network (FPN) is a well-known architecture for multi-scale feature learning, however, intrinsic weaknesses in feature extraction and fusion impede the ...
Dongfang Liu +4 more
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Residual Dilation Based Feature Pyramid Network
2019 IEEE International Conference on Image Processing (ICIP), 2019To address the issue of multi-scale detection, current detectors usually generate hierarchical feature pyramid by a naive combination of top-down features with lateral features. Due to the limited effective receptive fields in the top-down pathway, the generated regions are only associated with the neighbor regions of the coarse feature maps, which is ...
Xiaotong Zhao +5 more
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Complementary Feature Pyramid Network for Object Detection
ACM Transactions on Multimedia Computing, Communications, and Applications, 2023The way of constructing a robust feature pyramid is crucial for object detection. However, existing feature pyramid methods, which aggregate multi-level features by using element-wise sum or concatenation, are inefficient to construct a robust feature pyramid.
Jin Xie +5 more
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Parallel Feature Pyramid Network for Image Denoising
2020 IEEE International Conference on Consumer Electronics (ICCE), 2020Image denoising is a classical and essential task in consumer electronics equipped with cameras. Recently, the convolutional neural network (CNN)-based denoising methods have been widely studied. These methods adopt single-scale features to separate image structures from the noisy observation. Single-scale features, however, have limitation in covering
Sung-Jin Cho +4 more
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