文件名称：Vision Transformer系列参考论文
文件大小：216.64MB
文件格式：ZIP
更新时间：2022-09-12 20:17:04
Vision Transformer系列参考论文,大多数都是热门论文,包含CVPR,NIPS顶会以及顶刊论文,欢迎大家学习
【文件预览】：
VIT_2022.08.02
----2020-ConvBERT Improving BERT with Span-based Dynamic Convolution.pdf(1.61MB)
----2017-Attention Is All Y ou Need.pdf(556KB)
----2021-Conformer Local Features Coupling Global Representations for Visual Recognition.pdf(1.28MB)
----2021-Swin Transformer Hierarchical Vision Transformer using Shifted Windows.pdf(1.3MB)
----2022-Deep learning for image colorization Current and future prospects.pdf(9.74MB)
----2022-Uformer A General U-Shaped Transformer for Image Restoration.pdf(3.11MB)
----2021-LeViT a Vision Transformer in ConvNet’s Clothing for Faster Inference.pdf(716KB)
----2020-An Image is Worth 16x16 Words Transformers for Image Recognition at Scale.pdf(3.57MB)
----2018-BERT Pre-training of Deep Bidirectional Transformers for Language Understanding.pdf(757KB)
----2022-MOBILEVIT LIGHT-WEIGHT, GENERAL-PURPOSE, AND MOBILE-FRIENDLY VISION TRANSFORMER.pdf(10.11MB)
----2021- COLORIZATION TRANSFORMER.pdf(31.14MB)
----2022-Mobile-Former Bridging MobileNet and Transformer.pdf(1.12MB)
----2022-CSWin Transformer A General Vision Transformer Backbone with Cross-Shaped Windows.pdf(1.1MB)
----2022-CMT Convolutional Neural Networks Meet Vision Transformers.pdf(764KB)
----2021-TransGAN Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up.pdf(27.96MB)
----2021-Compositional Transformers for Scene Generation.pdf(2.69MB)
----2021-Tokens-to-Token ViT Training Vision Transformers from Scratch on ImageNet.pdf(10.27MB)
----2022-InstaFormer Instance-Aware Image-to-Image Translation with Transformer.pdf(9.43MB)
----2022-Transformers in Vision A Survey.pdf(7.3MB)
----2022-PVT v2 Improved baselines with Pyramid Vision Transformer.pdf(1006KB)
----2022-Styleformer Transformer based Generative Adversarial Networks with Style.pdf(7.49MB)
----2022-A Survey of Visual Transformers.pdf(4.46MB)
----2021-Transformer in Transformer.pdf(5.29MB)
----2021-Pyramid Vision Transformer A Versatile Backbone for Dense Prediction without Convolutions.pdf(729KB)
----2022-Vision Transformer with Deformable Attention.pdf(1.85MB)
----2021-CvT Introducing Convolutions to Vision Transformers.pdf(1.07MB)
----2021-Generative Adversarial Transformers.pdf(2.55MB)
----2022-PatchFormer An Efficient Point Transformer with Patch Attention.pdf(2.76MB)
----2022-StyleSwin Transformer-based GAN for High-resolution Image Generation.pdf(3.86MB)
----2022-ITTR Unpaired Image-to-Image Translation with Transformers.pdf(4.16MB)
----2022-StyTr2Image Style Transfer with Transformers.pdf(9.79MB)
----2021-Rethinking Spatial Dimensions of Vision Transformers.pdf(658KB)
----2022-MPViT Multi-Path Vision Transformer for Dense Prediction.pdf(5.83MB)
----2022-Towards Robust Vision Transformer.pdf(1.97MB)
----2022-A Survey on Vision T ransformer.pdf(2.63MB)
----2022-Restormer Efficient Transformer for High-Resolution Image Restoration.pdf(7.28MB)
----2022-CT2 Colorization Transformer via Color Tokens.pdf(8.89MB)
----2021-ViTGAN Training GANs with Vision Transformers.pdf(3.34MB)
----2022-On the Integration of Self-Attention and Convolution.pdf(1.32MB)
----2022-SCENE TRANSFORMER A UNIFIED ARCHITECTURE FOR PREDICTING MULTIPLE AGENT TRAJECTORIES.pdf(1.39MB)
----2021-Twins Revisiting the Design of Spatial Attention in Vision Transformers.pdf(361KB)
----2022-Transformer for Single Image Super-Resolution.pdf(8.69MB)
----2022-ParC-Net Position Aware Circular Convolution with Merits from ConvNets and Transformer.pdf(2.29MB)
----2022-Attention mechanisms in computer vision A survey.pdf(2.74MB)
----2021-Swinir Image restoration using swin transformer.pdf(6.56MB)
----2022-Exploring Plain Vision Transformer Backbones for Object Detection.pdf(919KB)
----2021-Yes, Attention Is All You Need, for Exemplar based Colorization.pdf(3.4MB)
----2021-CROSSFORMER A VERSATILE VISION TRANSFORMER HINGING ON CROSS-SCALE ATTENTION.pdf(2.51MB)