hhb072 / STViTLinks
☆146Updated last year
Alternatives and similar repositories for STViT
Users that are interested in STViT are comparing it to the libraries listed below
Sorting:
- ☆85Updated 2 years ago
- Official ImageNet Model repository☆254Updated 2 years ago
- ☆151Updated last year
- [ICCV2023] This is an official implementation for "Scale-Aware Modulation Meet Transformer".☆211Updated 2 years ago
- GroupMixAttention and GroupMixFormer☆116Updated last year
- ☆68Updated last year
- CMT Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107…☆99Updated 3 years ago
- Scattering Vision Transformer☆53Updated last year
- The official repository of the paper "Learning Correlation Structures for Vision Transformers" accepted to CVPR 2024.☆47Updated last year
- The official code of "Rethinking Local Perception in Lightweight Vision Transformer"☆89Updated 2 years ago
- ☆115Updated 7 months ago
- ☆185Updated 9 months ago
- [ECCV 2024] Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation☆119Updated 2 months ago
- [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "Fast Vision Transformers with HiLo Attention"☆287Updated last year
- CVPR 2024 Highlight: Frequency-Adaptive Dilated Convolution for Semantic Segmentation☆155Updated 9 months ago
- Official repository of Slide-Transformer (CVPR2023)☆171Updated last year
- Code for paper LocalMamba: Visual State Space Model with Windowed Selective Scan☆265Updated last year
- Code Implementation of EfficientVMamba☆230Updated last year
- ☆132Updated 2 years ago
- ICLR2024 When Sementic Segmentation Meets Frequency Aliasing☆45Updated last year
- PyTorch implementation of PaCa-ViT (CVPR'23)☆33Updated 2 years ago
- [TNNLS 2025] TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition☆217Updated 3 months ago
- Vision Mamba: A Comprehensive Survey and Taxonomy☆95Updated last year
- [IEEE TPAMI'23] Pyramid Pooling Transformer for Scene Understanding