DA-Faster-RCNN
DA-RetinaNet
DA-Faster-RCNN | DA-RetinaNet | |
---|---|---|
1 | 2 | |
48 | 59 | |
- | - | |
5.4 | 6.1 | |
8 months ago | 5 months ago | |
Python | Python | |
MIT License | MIT License |
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DA-Faster-RCNN
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[R] DA-Faster RCNN
I have reimplemented DA-Faster RCNN using Detectron2 one of the most important architecture for domain adaptation for object detection. This implementations is easy to use and can be used also with google colab :) here there is the link: https://github.com/GiovanniPasq/DA-Faster-RCNN
DA-RetinaNet
- Detectron2 Da-RetinaNet, Unsupervised Domain Adaptation for object detection
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Detectron2 DA-RetinaNet
Link to the repo DA-RetinaNet: https://github.com/fpv-iplab/DA-RetinaNet
What are some alternatives?
globox - A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
mmdetection - OpenMMLab Detection Toolbox and Benchmark
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
AdaTime - [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
Transfer-Learning-Library - Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]