Vision Mamba more accurate than transformers and is 2.8x faster and uses 86.8% less GPU memory

Survey of image classification with vision transformers

Survey of vision transformer efficiency

Survey of transformer inference optimization techniques

Survey of transformers for vision language

Survey of transformers for 2D object detection

Survey of vision transformers and hybrid CNN-transformer variants

1.5x faster vision transformers by using activation sparsity with SparseViT

Vision transformer beats CNN on mobile devices for accuracy and speed with ElasticViT

Survey of computer vision using transformers by Jamil

Survey of transformers for video

Survey of computer vision using transformers

Improve vision transformer by using anti-aliasing

MobileViT: an accurate, light-weight, mobile-friendly vision transformer

Transformer handles images, video, point clouds, and audio to understand world

Training with modified data like using 10 times more data

Get 3D pose and shape of people from monocular images

Transformer for super-resolution video

Survey of transformers for vision, text, and audio

Advantages of nested transformers for computer vision