We propose an end-to-end Multitask Learning Transformer framework, named MulT, to simultaneously learn multiple high-level vision tasks, including depth estimation, semantic segmentation, reshading, surface normal estimation, 2D keypoint detection, and edge detection. Based on the Swin transformer mode...
TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting阅读笔记,程序员大本营,技术文章内容聚合第一站。
编码器和解码器都使用具有“预范数”的标准 Transformer 块 [21],我们建议读者参考 Vaswani 等人 [68] 了解详细信息。图 2 说明了我们的模型。 图2:方法。 (左)3DETR 是一种端到端可训练 Transformer,它采用一组 3D 点(点云)作为输入并输出一组 3D 边界框。 Transformer 编码器使用多层自注意力生成一组点...
@InProceedings{Bhattacharjee_2022_CVPR, author = {Bhattacharjee, Deblina and Zhang, Tong and S\"usstrunk, Sabine and Salzmann, Mathieu}, title = {MulT: An End-to-End Multitask Learning Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition...
Hybrid CTC/attentionbased end-to-end ASR Fast/accurate training with CTC/attention multitask training CTC/attention joint decoding to boost monotonic alignment decoding Encoder: VGG-like CNN + BiRNN (LSTM/GRU), sub-sampling BiRNN (LSTM/GRU), Transformer, Conformer,Branchformer, orE-Branchformer ...
GPT-2 (from OpenAI) released with the paper Language Models are Unsupervised Multitask Learners by Alec Radford*, Jeffrey Wu*, Rewon Child, David Luan, Dario Amodei** and Ilya Sutskever**. GPT-J (from EleutherAI) released in the repository kingoflolz/mesh-transformer-jax by Ben Wang and...
(2) Early Routing Learning: Token ID routing specialization is established early in pre-training and remains largely fixed, resulting in tokens being consistently processed by the same experts throughout the training; (3) Drop-towards-the-End: Since each expert has a fixed max capacity, tokens ...
多场景 | A Collaborative Transfer Learning Framework for Cross-domain Recommendation Wei Zhang (Meituan), Pengye Zhang (Meituan), Bo Zhang (Meituan), Xingxing Wang (Meituan), Dong Wang (Meituan) 重排| PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce ...
In the end, the weights are obtained by solving a linear system fully determined by the variogram model and by the geometry of the data. When all data points are used for the kriging estimation, some algebraic manipulations produce the dual kriging system of Eq. (12), which has exactly ...
Transfer Learning, Fine-tuning, Multitask Learning and Federated Learningref Expand DevOps, Platform engineering and SRE (site reliability engineering)ref SRE vs. DevOps vs. Platform Engineering 🔹DevOps, SRE, and Platform Engineering are practices that streamline software development and maintenance....