背景上,近年来基于Transformer和CNN的视觉基础模型取得巨大成功。有许多研究进一步地将Transformer结构与CNN架构结合,设计出了更为高效的hybrid CNN-Transformer Network。 这篇文章提出了一种名为"Scale-Aware Modulation Transformer"(SMT)的新型Transformer结构,它充分结合CNN和Transformer的优势,减轻了SA的运算负担,同时又...
作为本专栏的开篇,就让我们以近来的一篇被ICCV 2023接收的名为《Scale-aware ModulationsMeet Transformer》的论文作为开端吧,一起踏上我们的视觉Backbone学习之旅吧。 图0 论文标题 二、研究动机 将Transformer应用到视觉任务,构建Vision Transformer(ViT)框架时,面临的最大痛点就是Transformer的核心机制:Self-attention(S...
有许多研究进一步地将Transformer结构与CNN架构结合,设计出了更为高效的hybrid CNN-Transformer Network。 这篇文章提出了一种名为"Scale-Aware Modulation Transformer"(SMT)的新型Transformer结构,它充分结合CNN和Transformer的优势,减轻了SA的运算负担,同时又解决了浅层的CNN局部特征捕捉能力的痛点。 在文章中,作者设计了...
[ICCV2023] This is an official implementation for "Scale-Aware Modulation Meet Transformer". - AFeng-x/SMT
Lin W, Wu Z, Chen J et al (2023) Scale-aware modulation meet transformer. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp 6015–6026 Zhang T, Li L, Cao S et al (2023) Attention-guided pyramid context networks for detecting infrared small target under compl...
& Jin, L. Scale-aware modulation meet transformer. In Proc. of the IEEE/CVF International Conference on Computer Vision, 6015–6026 (2023). Hatamizadeh, A. et al. Fastervit: Fast vision transformers with hierarchical attention. Preprint at arXiv:2306.06189 (2023). Ma, X. et al. Image ...
where a water temperature pre-adjustment system controls the flow rate and temperature of the water entering the coil. Adjustable heaters control the water and air temperatures using pulse-width modulation (PWM) with controlled duty cycles. For high-precision operation, two temperature sensors with an...
This amount of memory is much larger than RAFT requires for training, however compared to other transformer-based methods such as GMFlow (Xu et al. 2022) and Flowformer (Huang et al. 2022), where four A100 and four V100 GPUs are used, respectively, our method still requires less memory....
proposed a lightweight real-time detection algorithm (EfficientLiteSet), which introduced a three-scale transformer prediction head (TPH) in Tiny-YOLOv4 to replace the original detection head, which could improve the detection performance of small targets. At the same time, the attention mechanism ...
其中attention前向传播代码如下,ca_attention的ca应该是cross-group information aggregation 的意思。看代码就是论文图中的SAM模块,即Scale-Aware Modulation。 先将特征图的通道分成num_heads组,此时形状为[num_heads,batch,C/num/heads,h,w],对每个组使用不同卷积核大小的深度卷积,并将结果cat起来,此时形状为[bat...