Vision Transformers (ViT) Explained + Fine-tuning in Python

ViT论文逐段精读【论文精读】

Image Classification Using Vision Transformer | ViTs

EfficientViT Street Scene Segmentation Demo

Semantic Segmentation - Segformer trained on BDD100k drivable area

[CVPR 2023] EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention

A ViT: Adaptive Tokens for Efficient Vision Transformer | CVPR 2022

Transformers for Structural Extraction

[CVPR 2023] Neural Fourier Filter Bank

Resolution-robust Large Mask Inpainting with Fourier Convolutions

Learned Queries for Efficient Local Attention | CVPR 2022

Lecture 20 - Efficient Transformers | MIT 6.S965

Semantic Segmentation on Cityscapes demo Video (Using CCNet)

Helm.ai Urban Driving Scene Semantic Segmentation

EfficientML.ai Lecture 14 - Vision Transformer (MIT 6.5940, Fall 2023)

Semantic Segmentation | Cityscape Dataset | Overlade Results | Autonomous Driving

CVPR2023: Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention

Semantic Segmentation | Cityscape Dataset | CNN's output | Separate Channels |Autonomous Driving

VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion | CVPR2023

BANMo: Building Animatable 3D Neural Models From Many Casual Videos | CVPR 2022