Unsupervised-Semantic-Segmentation
DA-RetinaNet
| Unsupervised-Semantic-Segmentation | DA-RetinaNet | |
|---|---|---|
| 1 | 2 | |
| 386 | 59 | |
| - | - | |
| 1.8 | 6.1 | |
| almost 2 years ago | 5 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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Unsupervised-Semantic-Segmentation
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Unsupervised semantic segmentation
Check out these unsupervised masks created in exactly such way in this paper. They are nearly perfect
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?
mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark
datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
solo-learn - solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
DA-Faster-RCNN - Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild
DiffCSE - Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
globox - A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
PASS - The PASS dataset: pretrained models and how to get the data
mmdetection - OpenMMLab Detection Toolbox and Benchmark
BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]