WebThe object detector based on deep learning has received extensive attention, but the high computational cost has become an obstacle to its large-scale application. It is a great challenge for object detection to further reduce the hardware requirements on the premise of ensuring high detection accuracy. We propose a one-stage lightweight object detector … WebJul 9, 2024 · In this paper, our team proposes a dual attention mechanism capsule network (DA-CapsNet). DA-CapsNet has two layers of attention modules; one layer acts as the …
[2112.10310v1] Contrastive Attention Network with Dense Field ...
WebSep 21, 2024 · In this work, we propose a novel stand-alone composite attention network that automatically exerts higher emphasis on the defective regions and less emphasis on the healthy regions to recognize multitarget multiclass and single-class … WebIn the designed fusion network, a novel composite attention learning mechanism (combined with a three-level fusion strategy) is used to fully integrate the features in these two data sources. Finally, inspired by the idea of transfer learning, a novel stepwise training strategy is designed to yield a final classification result. mary day cruises
A3CLNN: Spatial, Spectral and Multiscale Attention …
WebJan 31, 2024 · The composite backbone of our model was composed of CoAtNet and Xception. CoAtNet integrated the attention mechanism of the Transformers into the convolution operation. At the same time, our model based on DeepLab v3+ was combined with the fusion mechanism of multi-scale features and auxiliary supervision strategy. WebSep 7, 2024 · We propose a path attention memory network (PAM) to construct a more robust composite attention model. After each single-hop attention block (SA or CA), … WebJul 1, 2024 · CBNet: A Composite Backbone Network Architecture for Object Detection. Modern top-performing object detectors depend heavily on backbone networks, whose … mary dawson whitaker dmd