counter-f,github

ai-deadlines

:alarm_clock: AI conference deadline countdowns

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-polarization

List of awesome papers on Polarization Imaging

awesome-polarization-in-vision

A collection of polarization-based models in computer vision, including shape from polarization, polarization-based reflection removal.

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)

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

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

cvpr_2021_papers

CVPR2021最新论文汇总，主要包括：Transformer, NAS，模型压缩，模型评估，图像分类，检测，分割，跟踪，GAN，超分辨率，图像恢复，去雨，去雾，去模糊，去噪，重建等等

external-attention-pytorch

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

mirror-glass-detection

🍸 Mirror & Glass Detection in Real-world Scenes

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

segment_transparent_objects

Data and code for ECCV2020 paper 'Segmenting Transparent Objects in the Wild'

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

tutorials

PyTorch tutorials.

vision

Datasets, Transforms and Models specific to Computer Vision

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