作为截止2022年8月世界最大的稠密视觉模型,Swin Transformer v2.0 版本当时在多个重要的代表性视觉评测集中取得了新的记录。此外,胡瀚还参与开发了目前 GPU 上最高效的混合专家框架 Tutel 和用于计算机视觉的 Swin-MoE 模型。 促进AI 不同领域实现大一统和大融合,赋能人类美好生活 回顾自小的成长背景和求学经历,胡...
尽管此 MoE 层相比 Transformer 层的单个前馈网络具有更多参数，但专家被稀疏激活，这意味着对于给定的输...
而基于Transformer的视觉大模型,采用无监督学习的方式进行了训练,遇到新的就能直接识别(也就是zero-shot或者one-shot能力),可以省去很大的时间和训练成本。 不过要开发可以让Transformer模型轻松又高效地在端侧跑起来的平台,要面对的困难并不少。 例如: 硬件架构上早期定位就要...
4. Z., Liu. et al. Swin Transformer V2: Scaling Up Capacity and Resolution. arXiv (2022). https://arxiv.org/abs/2111.09883
Added Swin-MoE, the Mixture-of-Experts variant of Swin Transformer implemented using Tutel (an optimized Mixture-of-Experts implementation). Swin-MoE is introduced in the TuTel paper. 05/12/2022 Pretrained models of Swin Transformer V2 on ImageNet-1K and ImageNet-22K are released. ImageNet-...
Added Swin-MoE, the Mixture-of-Experts variant of Swin Transformer implemented using Tutel (an optimized Mixture-of-Experts implementation). Swin-MoE is introduced in the TuTel paper. 05/12/2022 Pretrained models of Swin Transformer V2 on ImageNet-1K and ImageNet-22K are released. ImageNet-...
Swin-MoE is introduced in the TuTel paper. 05/12/2022 Pretrained models of Swin Transformer V2 on ImageNet-1K and ImageNet-22K are released. ImageNet-22K pretrained models for Swin-V1-Tiny and Swin-V2-Small are released. 03/02/2022 Swin Transformer V2 and SimMIM got accepted by CVPR ...
To overcome this limitation, we introduce Swin Soft Mixture Transformer (Swin SMT), a novel architecture based on Swin UNETR. This model incorporates a Soft Mixture-of-Experts (Soft MoE) to effectively handle complex and diverse long-range dependencies. The use of Soft MoE allows for scaling ...
5分钟就能完成原版Swin Transformer端侧部署 AX650N是AI芯片公司爱芯元智发布的第三代端侧芯片。 其构成包括CPU和NPU等,其中CPU采用的是八核A55处理器,NPU则采用了自研混合精度技术,可以做到43.2TOPs(INT4)或10.8TOPs(INT8)的高算力。 AX650N主要用于端侧视觉感知。
Added Swin-MoE, the Mixture-of-Experts variant of Swin Transformer implemented using Tutel (an optimized Mixture-of-Experts implementation). Swin-MoE is introduced in the TuTel paper. 05/12/2022 Pretrained models of Swin Transformer V2 on ImageNet-1K and ImageNet-22K are released. ImageNet-...