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3dnet_visualization

Pytorch 3DNet attention feature map Visualization by [Cam](https://arxiv.org/abs/1512.04150)

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

cam

Class Activation Map with Pytorch

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

evaluate-sod

A One-key fast evaluation on saliency object detection with GPU implementation including MAE, Max F-measure, S-measure, E-measure.

mfnet

source code for ICCV2021 paper "MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection"

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

perlin-numpy

A fast and simple perlin noise generator using numpy

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

project1

this is a git project

psamnet

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

s2ma

source code of "Learning Selective Self-Mutual Attention for RGB-D Saliency Detection" (CVPR2020)

self_supervised

A Pytorch-Lightning implementation of self-supervised algorithms

sod-cnns-based-code-summary-

The summary of code and paper for salient object detection with deep learning

tinywebserver

:fire: Linux下C++轻量级Web服务器

tsukiwan.github.io

this is a invidual blog

vision_transformer

vit-pytorch

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

webserver

A C++ High Performance Web Server