IAST-ECCV2020
DA-RetinaNet
IAST-ECCV2020 | DA-RetinaNet | |
---|---|---|
1 | 2 | |
84 | 59 | |
- | - | |
1.8 | 6.1 | |
over 2 years ago | 5 months ago | |
Python | Python | |
- | MIT License |
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IAST-ECCV2020
DA-RetinaNet
- Detectron2 Da-RetinaNet, Unsupervised Domain Adaptation for object detection
-
Detectron2 DA-RetinaNet
Link to the repo DA-RetinaNet: https://github.com/fpv-iplab/DA-RetinaNet
What are some alternatives?
Real-time-Semantic-Segmentation
datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
HRNet-Semantic-Segmentation - The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
DA-Faster-RCNN - Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild
globox - A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
mmdetection - OpenMMLab Detection Toolbox and Benchmark
BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]