简介:YOLO目标检测专栏探讨了Transformer在视觉任务中的效能与计算成本问题,提出EfficientViT,一种兼顾速度和准确性的模型。EfficientViT通过创新的Cascaded Group Attention(CGA)模块减少冗余,提高多样性,节省计算资源。在保持高精度的同时,与MobileNetV3-Large相比,EfficientViT在速度上有显著提升。论文和代码已公开。CGA通过...
它由内存高效的sandwich布局、cascaded group attention模块和参数重分配策略组成,分别侧重于在内存、计算和参数方面提高模型效率。 Sandwich Layout.使用较少的memory-bound self-attention layers,使用较多的memory-efficient FFN layers来进行通道间的交流。具体来说...
EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention 代码逐行注释15 赞同 · 0 评论文章 Abstract 这篇论文介绍了一个新的模型家族,叫做EfficientViT,目的是提升Vision Transformers的计算速度和内存效率。通过使用一个新设计的“三明治”构建块和引入级联分组注意力(Cascaded Group Attention)...
that the attention maps share high similarities across heads, leading to computational redundancy. To address this, we present a cascaded group attention module feeding attention heads with different splits of the full feature, which not only saves computation cost but also...
(a) Architecture of EfficientViT; (b) Sandwich Layout block; (c) Cascaded Group Attention. 3.1. EfficientViT Building Blocks We propose a new efficient building block for vision transformer, as shown in Fig. 6 (b). It is composed of a memory-efficient ...
Moreover, we discover that the attention maps share high similarities across heads, leading to computational redundancy. To address this, we present a cascaded group attention module feeding attention heads with different splits of the full feature, which not only saves computation cost but also ...
In this work, we introduce an MCG-RTDETR approach based on the real-time detection transformer (RT-DETR) with dual and deformable convolution modules, a cascaded group attention module, a context-guided feature fusion structure with context-guided downsampling, and a more flexible prediction head...
This study proposes a novel Multiresolution Cascaded Attention U-Net (MCAU-Net) model that addresses these problems by optimally balancing receptive field size and computational efficiency. The MCAU-Net utilizes two skip connections to accurately localize and segment the OD and fovea in fundus ...
[ViT轻量化论文2]EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention16 赞同 · 4 评论文章 代码逐行注释: importtorchimportitertoolsfromtimm.models.vision_transformerimporttrunc_normal_fromtimm.models.layersimportSqueezeExcite ...