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awesome-attention-mechanism-in-cv's Introduction

Hi there 👋 this is pprp

🥳 My name is Peijie Dong, I am a first-year Ph.D. student in Data Science and Analytic (DSA) at HKUST(GZ).

😄 I’m a member of 🐼 GiantPandaCV.

📦 CSDN: https://blog.csdn.net/DD_PP_JJ

😃 cnblogs: https://www.cnblogs.com/pprp

😇 zhihu: https://www.zhihu.com/people/peijieDong

🐼 公众号: GiantPandaCV

👤 More about me: https://pprp.github.io

📫 How to reach me: wx:topeijie

If you find my research direction intriguing or share similar interests, I would be delighted to hear from you. Please don't hesitate to reach out, as I believe that together, we can create something truly remarkable and meaningful.

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Repository Introduction
yolov3-point Infrared Small Object Detection based on Yolov3.
SimpleCVReproduction Replication of simple CV projects including Keypoint Detection, Classification, etc.
Awesome-Attention-Mechanism-in-cv Awesome list of Attention and Plug&Play Modules in CV.
deep_sort_yolov3_pytorch Replication of MOT Algorithm - DeepSort with Attention Machnism.
voc2007_for_yolo_torch Dataset Conversion Scripts for yolov3/yolov5.
landmark_annotation Landmark/Keypoint Annotation Software. Refer to keypoint detection for more details.
captcha.Pytorch Solution of the 1st Prize in the Captcha Recognition Competition 2019.
pytorch-cifar-model-zoo Implementation of CNN and ViT Networks for CIFAR.
SimplePaperReading Collection of original Blog Post and Inductive Knowledge.
GoodsRecognition.MindSpore Solution of the 1st Prize in MindSpore Goods Recognition Competition.
CVPR2022-NAS-competition-Track-1-3th-solution Solution of the 3rd Prize in 2022 CVPR NAS Workshop on SuperNet Track.

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awesome-attention-mechanism-in-cv's Issues

How can i use these module?

Can you give a detailed tutorial on how to embed a module into the current semantic segmentation architecture(like fcn、unet)

关于Dense-and-implicit attention network (DIANet)

您好,我是DIANet的作者。很高兴看到这个整理全面的repo。我对DIANet在readme上所给出的main idea有个简单的建议,我觉得DIANet的main idea不是简单的“LSTM+全程SE注意力”,而是“block间特征share”。我觉得改为“LSTM+block间特征share+通道注意力”会比较准确~谢谢Thanks♪(・ω・)ノ

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