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ad-depth-estimation

attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

bottlenecktransformers

Bottleneck Transformers for Visual Recognition

codecraft-2022-solution

My Solution for Huawei CodeCraft 2022

conformer

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

convnext

Code release for ConvNeXt model

cv-demosaicing

dl-endo

用于胶囊机器人视觉方向

eanet

External Attention Network

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

halonet-pytorch

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

linux_driver

ml-cvnets

CVNets: A library for training computer vision networks

nested-transformer

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

qanet-pytorch

Re-implement "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"

quadtreeattention

QuadTree Attention for Vision Transformers (ICLR2022)

repmlp

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

sa-net

Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

sc-sfmlearner-release

Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)

simvit

This is a official repository of SimViT.

spvit

This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.

techcpp

【C++面试&C++学习指南】 这里整理了C++后端研发工程师面试和工作必备的知识点 。

trionet

This is the official Pytorch implementation of TrioNet (BMVC 2021)

twins

Two simple and effective designs of vision transformer, which is on par with the Swin transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

wantwords

An open-source online reverse dictionary.