"Multiscale Vision Transformers", ICCV'21 "Improved Multiscale Vision Transformers for Classification and Detection", Dec 2021 "MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition", Jan 2022
Transformers刚刚登陆计算机视觉领域,似乎下定决心要取代传统的卷积网络,或者至少在这一领域为自己开辟一个重要的角色。因此,科学界正处于混乱之中,试图进一步改进Transformers,将其与各种技术结合起来,并将其应用于实际问题,最终能够做一些直到最近才可能做到的事情。像Facebook和Google这样的大公司正在积极开发和应用Transfor...
Transformers刚刚登陆计算机视觉领域,似乎下定决心要取代传统的卷积网络,或者至少在这一领域为自己开辟一个重要的角色。因此,科学界正处于混乱之中,试图进一步改进Transformers,将其与各种技术结合起来,并将其应用于实际问题,最终能够做一些直到最近才可能做到的事情。像Facebook和Google这样的大公司正在积极开发和应用Transfor...
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more. machine-learningcomputer-visiondeep-learninggrad-campytorchimage-classificationobject-detectionvisualizationsinterpretabilityclass-activation-mapsinterpretable...
We present pure-transformer based models for video classification, drawing upon the recent success of such models in image classification. Our model extracts spatio-temporal tokens from the input video, which are then encoded by a series of transformer layers. In order to handle the long sequence...
Based on our experimental results, we find that Vision Transformers are more effective on smaller datasets. With increasing data size, their performance degrades considerably. Additionally, Vision Transformers are not as competitive as convolutional neural networks for the traffic sign classification task ...
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers [paper] ResViT: Residual vision transformers for multi-modal medical image synthesis [paper] [CrossEfficientViT] Combining EfficientNet and Vision Transformers for Video Deepfake Detection [paper] [code] [Discrete ViT] Discrete Repre...
A hybrid CNN–vision transformer structure for remote sensing scene classification Vision Transformers (ViTs) have become one of the main architectures in deep learning with the self-attention mechanism, and are becoming an alternative to... N Li,S Hao,K Zhao - 《Remote Sensing Letters》 被引量...
论文名称: An Image Is Worth 16x16 Words: Transformers For Image Recognition At Scale 论文链接:https://arxiv.org/abs/2010.11929 模型结构/算法流程 Vision Transformer的模型结构相比于Transformer来说更简单,在Transformer模型中,主要包含Encoder和Decoder结构,而ViT(Vision Transformer)仅借鉴...
paper:Improved Multiscale Vision Transformers for Classification and Detection code:https://github.com/facebookresearch/detectron2/tree/main/projects/MViTv2 参考:https://zhuanlan.zhihu.com/p/449990416 Abstract Facebook在2021 ICCV的发表了Multiscale Vision Transformer的工作,本文为该工作的改进版本。