An additional convolutional branch with a dilation rate of 4 is introduced into scale-aware RFE model (RFEM). The improved RFEM module is substituted for C2f's bottleneck of the based YOLOv8 model. The C2f-RFEM module is integrated into the backbone network to reinforce the extraction of ...
Our approach introduces a Receptive Field Enhancement (RFE) module designed to extract multi-scale pixel information and augment the receptive field for accurately detecting small faces. To address issues related to face occlusion, we introduce an attention mechanism termed the Separated and Enhancement ...
Our approach introduces a Receptive Field Enhancement (RFE) module designed to extract multi-scale pixel information and augment the receptive field for accurately detecting small faces. To address issues related to face occlusion, we introduce an attention mechanism termed the Separated and Enhancement ...
© The Author(s) 2020 Abstract We study the Standard Model effective field the- ory (νSMEFT) extended with operators involving right- handed neutrinos, focussing on the regime where the right- handed neutrinos decay promptly on collider scales to a pho- ton and a Standard Model neutrino. ...
constructed a hybrid model for fault diagnosis and detection in penicillin fermentation by principal component analysis (PCA) for data dimensionality reduction, recursive feature elimination (RFE) for feature ranking and support vector machine (SVM) for the fault identification [128]. 3.2.3. ...
Conclusions: A performance comparison with state-of-the-art methods demonstrated the effectiveness and generalizability of the proposed model on challenging multi-task MI-EEG decoding. Keywords: multi-scale structure; inception; transformer; motor imagery; brain–computer interface Academic Editor: Peter ...
HUYIGzjTL3rfEspMxjDjgmT5uz5wzYJKVo23qUhYTos= github.com/xiang90/probing v0.0.0-20190116061207-43a291ad63a2/go.mod h1:UETIi67q53MR2AWcXfiuqkDkRtnGDLqkBTpCHuJHxtU= github.com/xo/terminfo v0.0.0-20210125001918-ca9a967f8778 h1:QldyIu/L63oPpyvQmHgvgickp1Yw510KJOqX7H24mg8= github.com/...
For the backbone, we employ CSPDarknet53 and integrate the RFE module into the P5 layer to facilitate the fusion of multi-scale features. Retaining the PAN structure from PAN [30], the Experiments In this part, we provide the details for experiments and results to demonstrate the ...
Attention to scale: Scale-aware semantic image segmentation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 27–30 June 2016; pp. 3640–3649. 9. Lin, G.; Shen, C.; Hengel AV, D.; Reid, I. Efficient piecewise training of...
To mitigate this issue, we introduce an edge-aware depth smoothness loss that encourages smooth depth variations in regions where the image has low gradients, while preserving depth discontinuities at object boundaries. In our method, the smooth- ness loss Lsmooth enforces spatial consistency in ...