horizon6666

horizon6666

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Domain-Adaptive-Faster-RCNN-PyTorch

Domain Adaptive Faster R-CNN in PyTorch

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DA_detection

Progressive Domain Adaptation for Object Detection

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PyTorch-CycleGAN

A clean and readable Pytorch implementation of CycleGAN

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DA_Detection_Material

A Collection of Domain Adaptation for Object Detection Material

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Awesome-Domain-Adaptation

:sunglasses: A curated list of domain adaptation papers, datasets and other resources.

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Coding-Interviews

📚剑指Offer(java版)

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GFocal

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

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mmdetection

Open MMLab Detection Toolbox with PyTorch 1.0

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underwater-object-detection-mmdetection

和鲸社区Kesci 水下目标检测算法赛(光学图像赛项)三等奖 单模方案

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Data-Augment

imgaug--Bounding Boxes augment

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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

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albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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mmdetection-annotated

mmdetection源码注释

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awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

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faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

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deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

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GNNPapers

Must-read papers on graph neural networks (GNN)

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Implementation-CVPR2015-CNN-for-ReID

Implementation for CVPR 2015 Paper: "An Improved Deep Learning Architecture for Person Re-Identification".

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