Then, the semantic and positional information extracted from the backbone are fused in Bi-directional Feature Pyramid Network (BiFPN). BiTNet also employs a smaller size detection head for recognition of small
We propose an anchor-free object detector that combines a weighted bi-directional Feature Pyramid Network (BiFPN) and Soft Anchor Point Detector to address the object detection problem in a pixel-wise paradigm. The current mainstream object detection methods are anchor-based, which require to set ...
We employed a bi-directional feature pyramid network (BiFPN) that is used for convolutional multi-scaled feature extraction on the EfficientDet detection architecture, which is novel to the task of FAS. We further use these convolutional multi-scaled features in order to perform deep pixel-wise ...
Existing motion-based in- terpolation methods typically rely on an off-the-shelf optical flow model or a U-Net based pyramid network for motion estimation, which either suffer from large model size or lim- ited capacity in handling various challenging motion cases...
The BiSC aims to enhance semantic information between different feature layers in the backbone network and simultaneously uses the SDCM to improve the receptive fields of differently sized targets in the fusion stage. Finally, SP learns the relationship between the features of upsampling and down...
In addition, the neck network replaces the basic PANet structure with the bi-directional feature pyramid network module, which introduces multi-scale feature fusion. The experimental results show that the improved YOLOv5 algorithm has an average defect detection accuracy of 97.7%...
In this paper, we propose a light-weight network where contracting and expanding paths are connected with fused multi-scale features through bi-directional feature pyramid network (BiFPN). The backbone of our proposed network has a dilated multi-fiber (DMF) structure based U-net architecture. ...
This study introduces a novel blueberry ripeness and count detection methodology that integrates an attention mechanism with a bi-directional feature pyramid network (BiFPN) within the YOLOv5 framework. The proposed attention mechanism is designed to enhance the YOLOv5 model's focus on pertinent ...
To address the computationally intensive nature of 3D convolutional networks and the problem of ignoring voxel correlation for 2D slices in a single slice, a Bi-Directional Convolutional LSTM (BDC-LSTM), a decoding part, and an encoding part are proposed to form a convolutional neural network. ...
1. A method for accessing a plurality of bi-directional services over a cable television network, comprising: receiving, in a digital home communication terminal (DHCT), a first information corresponding to plural bi-directional communication services, wherein the DHCT is coupled to a cable televisi...