我们根据这些标准分析了常见的视觉任务,并认为在ImageNet图像分类中引入Mamba是不必要的,因为它既不符合长序列特征也不符合自回归特征。然而,Mamba在符合长序列特征的视觉检测和分割任务中的潜力值得进一步探索。为了实证支持我们的论断,我们开发了MambaOut模型,这些模型使用Mamba模块但不包括其核心token混合器SSM。MambaOut...
yuweihao/MambaOut main 1Branch1Tag Code README Apache-2.0 license MambaOut: Do We Really Need Mamba for Vision?(CVPR 2025) In memory of Kobe Bryant "What can I say, Mamba out." —Kobe Bryant, NBA farewell speech, 2016 Image credit:https://www.ebay.ca/itm/264973452480...
Mamba, an architecture with RNN-like token mixer of state space model (SSM), was recently introduced to address the quadratic complexity of the attention mechanism and subsequently applied to vision tasks. Nevertheless, the performance of Mamba for vision is often underwhelming when compared with con...
MambaOut: Do We Really Need Mamba for Vision? 4 code implementations • 13 May 2024 For vision tasks, as image classification does not align with either characteristic, we hypothesize that Mamba is not necessary for this task; Detection and segmentation tasks are also not autoregressive, yet...
<>Electronics Engineering Technician for the Canadian Department of National Defence<> I think with upcoming consoles we will be seeing our pc hardware pushed very hard in th near future. Look at COD requires 50 GB I bet a lot of that is going to be high res texture which can gobble up...
MambaOut: Do We Really Need Mamba for Vision? In memory of Kobe Bryant "What can I say, Mamba out." —Kobe Bryant, NBA farewell speech, 2016 Image credit:https://www.ebay.ca/itm/264973452480 This is a PyTorch implementation of MambaOut proposed by our paper "MambaOut: Do We Really ...