9 RegisterLog in Sign up with one click: Facebook Twitter Google Share on Facebook (redirected fromLine transformer) Dictionary Medical Encyclopedia </>embed</> voltage regul... Tesla coil step-up trans... step-down tra... secondary
return self.dropout(x) ``` 🎉 至此我们完成了模型架构中的所有子模块,是时候构建它们了。 Binary file added BIN +207 KB PaperNotes/assets/image-20241031223750426.png Unable to render rich display 0 comments on commit 80c0b53 Please sign in to comment. Footer...
fast gradient sign method HSI: hyperspectral image κ : kappa coefficient MCA: multi-head cross attention MSA: multi-head self-attention MLP: multilayer perceptron OA: overall accuracy PGD: project gradient descent PE: position encodes PaviaU: Pavia University RSEN: robust self-embedd...
Sign Language Translation: LWTA: "Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation", ICCV, 2021 (Cyprus University of Technology). [Paper] 3D Object Identification: 3DRefTransformer: "3DRefTransformer: Fine-Grained Object Identification in Real...
[41] de- sign transformer-based decoders, which take categories as queries. Cheng et al. [6] propose an object-query-based transformer decoder and combine it with a pixel-level de- coder to predict segmentation results. These methods ig- nore the diversity of object sizes. Other recent ...
Furthermore, we have shown how to ef- fectively regularise such high-capacity models for training on smaller datasets and thoroughly ablated our main de- sign choices. Future work is to remove our dependence on image-pretrained models, and to extend our model to more complex video ...
多模态Transformer在大型语料库上的预训练确实为各种多模态应用程序 state-of-the-art 带来了最先进的性能,但它们的鲁棒性仍然是不清楚的,也没有得到充分的研究。至少涉及两个关键挑战,即如何理论分析鲁棒性,如何提高鲁棒性。 尽管最近的研究[99], [182], [289], [290] 研究并评估了Transformer组件/子层如何对...
collaborative algorithm that improves the optimization performance by guiding some of the particles up to the best minimum of the loss function. We extend this framework to action recognition by incorporating state-of-the-art methods for temporal data (Transformer and RNN) with the ConvNet module ...
2) design a novel boundary predictor based on the integrate-and-fire module to output the gloss boundary, which is used to model the correspondence between the sign language video and the gloss. 3) propose an innovative re-encode method to help the model obtain more abundant contextual ...
FD is an approach that can generally improve the fine-tuning performance of various pre-trained models, including DeiT, DINO, and CLIP. Particularly, it improves CLIP pre-trained ViT-L by +1.6% to reach 89.0% on ImageNet-1K image classification, which is the most accurate ViT-L model. ...