SHI-Labs / Neighborhood-Attention-TransformerLinks
Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022
☆1,165Updated last year
Alternatives and similar repositories for Neighborhood-Attention-Transformer
Users that are interested in Neighborhood-Attention-Transformer are comparing it to the libraries listed below
Sorting:
- PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)☆1,361Updated last year
- Implementation of ConvMixer for "Patches Are All You Need? 🤷"☆1,078Updated 3 years ago
- (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"☆823Updated 3 years ago
- [NeurIPS 2022] Official code for "Focal Modulation Networks"☆750Updated 2 years ago
- [ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmen…☆488Updated 2 years ago
- This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".☆1,018Updated 3 years ago
- Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Atte…☆918Updated last year
- Code release for ConvNeXt V2 model☆1,942Updated last year
- EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]☆1,101Updated 2 years ago
- [ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions☆1,457Updated 7 months ago
- MetaFormer Baselines for Vision (TPAMI 2024)☆495Updated last year
- Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)☆936Updated last year
- [ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention☆900Updated 5 months ago
- Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models☆806Updated 7 months ago
- [ICLR 2023 Oral] Image as Set of Points☆574Updated last year
- Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)☆1,449Updated 3 years ago
- This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.☆592Updated 2 years ago
- An All-MLP solution for Vision, from Google AI☆1,054Updated 6 months ago
- [ICML 2023] Official PyTorch implementation of Global Context Vision Transformers☆444Updated 2 years ago
- Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"☆371Updated 11 months ago
- CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022☆589Updated 2 years ago
- A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model☆632Updated 3 weeks ago
- Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)☆938Updated 2 years ago
- Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)☆712Updated 2 years ago
- This is a collection of our NAS and Vision Transformer work.☆1,819Updated last year
- [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"☆557Updated 3 years ago
- A method to increase the speed and lower the memory footprint of existing vision transformers.☆1,159Updated last year
- MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022☆610Updated 3 years ago
- [ECCV 2022]Code for paper "DaViT: Dual Attention Vision Transformer"☆372Updated last year
- Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)☆539Updated last year