loss = self.loss_weight * loss / (C * N) Experiments 论文中做了两组消融实验。 Effectiveness of channel-wise distillation 这组实验是确认使用channel-wise和KL散度做蒸馏的有效性。实验结果如下: 和其他的方法对比,本论文的的方法具有显著的提升效果,表中的Bhat是一种对称式的分布评价指标,用来和非对称的...
where β gradually learns a weight from 0. Equation 3 shows that the final feature of each channel is a weighted sum of the features of all channels and original features, which models the long-range semantic dependencies between feature maps. It helps to boost feature discriminability. Note th...
分类: Robust Learning 标签: adversarial , 2021 , architecture , emmm , heuristic , ICLR , ICML , reweight 馒头and花卷 粉丝- 93 关注- 1 会员号:2578(终身会员VIP) +加关注 0 0 « 上一篇: Wiener Filtering » 下一篇: Globally-Robust Neural Networks ...
abilitiesthatre-weightthelastconv-layerfeaturemapof aCNNencodinganinputimage.However,wearguethat suchspatialattentiondoesnotnecessarilyconformtothe attentionmechanism—adynamicfeatureextractorthat combinescontextualfixationsovertime,asCNNfeatures arenaturallyspatial,channel-wiseandmulti-layer.Inthis paper,weintroduc...
SUMMARY: support fp8_marlin via compressed-tensors add support for fp8_marlin with channelwise scales testing should be covered by existing models running on Ampere, but also added a weight-only F...
SAMformer has a lightweight implementation with few learnable parameters, contrary to most of its competitors, leading to improved computational efficiency. SAMformer significantly outperforms the SOTA in multivariate time series despite having fewer parameters. In addition, the same architecture is used ...
Face Reconstruction Algorithm based on Lightweight Convolutional Neural Networks and Channel-wise Attention 3D face reconstruction and face alignment are two highly relevant topics in face research. However, for these tasks, computational complexity is another co... H Gao,K Ogawara - 《Iieej Transacti...
Shi F, Qiu Z et al (2020) An improved alogorithm of faster R-CNN based on variable weight loss function and OHEM. Comput Modern 8:56–62 Google Scholar Shrivastava A, Gupta A, Girshick R (2016) Training region-based object detectors with online hard example mining. In: Conference on...
Refined UNet Lite: End-to-End Lightweight Network for Edge-precise Cloud Detection 2022, Procedia Computer Science Show abstract Deep Learning-Based Cloud Detection for Optical Remote Sensing Images: A Survey 2024, Remote Sensing A Restoration Scheme for Spatial and Spectral Resolution of the Panchrom...
The formulas of these two parts can be expressed as Equations (1) and (2), where w and b are the weight and bias of NNs in the encoder, respectively, and 𝐰˜w˜ and 𝐛˜b˜ represent the weight and bias matrices of NNs in the decoder, respectively. ϕ and ψ are the...