Networks-Beyond-Attention
Network architectures
A collection of modern neural network architectures for computer vision tasks that don't use self-attention mechanisms.
A compilation of network architectures for vision and others without usage of self-attention mechanism
77 stars
3 watching
7 forks
last commit: about 2 years ago
Linked from 1 awesome list
cmhungsteve/awesome-transformer-attentionRelated projects:
| Repository | Description | Stars |
|---|---|---|
 fwang91/residual-attention-network | An implementation of a deep neural network architecture using attention mechanisms and residual connections for image classification tasks. | 554 |
 forresti/squeezenet | Provides pre-trained models and training configurations for a deep neural network architecture optimized for image classification tasks | 2,181 |
 jhkim89/pyramidnet | A Torch implementation of a novel neural network architecture designed to improve the generalization ability of deep image classification models. | 129 |
 kaiminghe/resnet-1k-layers | Represents a neural network architecture with 1K layers, designed for image recognition tasks. | 909 |
 hszhao/psanet | A deep learning framework for semantic segmentation with spatial attention mechanisms | 218 |
 d-li14/regnet.pytorch | An implementation of a PyTorch-based neural network architecture for image classification tasks. | 68 |
 bruinxiong/modified-crunet-and-residual-attention-network.mxnet | An MXNet implementation of a modified deep neural network architecture for image classification | 67 |
 dyhan0920/pyramidnet-pytorch | An implementation of a deep neural network architecture for image classification tasks | 273 |
 linksense/lightnet | Research into efficient neural networks for semantic image segmentation in autonomous driving applications | 719 |
 aayushbansal/pixelnet | An architecture and toolset for training deep learning models to perform pixel-level tasks such as image segmentation and surface normal estimation. | 196 |
 koichiro11/residual-attention-network | An image classification neural network implementation using attention mechanisms and residual learning | 94 |
 titu1994/neural-architecture-search | An implementation of Neural Architecture Search using Reinforcement Learning with a Controller RNN. | 433 |
 ozan-oktay/attention-gated-networks | An implementation of attention gates in convolutional neural networks for image classification and segmentation tasks | 1,927 |
 100/cranium | A lightweight, portable C implementation of a feedforward artificial neural network library | 593 |
 pistony/residualattentionnetwork | A Gluon implementation of Residual Attention Network for image classification tasks | 108 |