- efficientdet-pytorch VS darknet
- efficientdet-pytorch VS segmentation_models.pytorch
- efficientdet-pytorch VS Yet-Another-EfficientDet-Pytorch
- efficientdet-pytorch VS Pytorch-UNet
- efficientdet-pytorch VS mmsegmentation
- efficientdet-pytorch VS involution
- efficientdet-pytorch VS ros-semantic-segmentation-pytorch
- efficientdet-pytorch VS InternImage
- efficientdet-pytorch VS automl
Efficientdet-pytorch Alternatives
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darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) (by AlexeyAB)
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The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
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InfluxDB
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segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
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Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
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involution
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
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ros-semantic-segmentation-pytorch
Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better efficientdet-pytorch alternative or higher similarity.
efficientdet-pytorch reviews and mentions
Posts with mentions or reviews of efficientdet-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-26.
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Bounding box annotations and object orientation
However, there are papers on oriented object detectors (see https://arxiv.org/pdf/1911.07732.pdf) for example. In that paper, they do achieve better results using oriented bounding boxes. If you want to go down that route, I would suggest using the EfficientDet model, because the PyTorch code that you'll find for it is quite easy to understand and modify. For example, I've taken https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch, and modified it to include a "thing-ness" logit, and this was pretty easy to do. Classic EfficientDet models only include logits (aka output neurons that get softmax-ed) for each class, and if any one of these class neurons is greater than 0.5, then it is considered "a thing". Anyway - that's digression, but my point is that I've thought about adding oriented box support to an EfficientDet model, and it didn't seem to be too hard, although I haven't actually done it. If I was to start now, I would probably go with https://github.com/rwightman/efficientdet-pytorch, since Ross Wightman's models are becoming a de-facto standard in the PyTorch world for all things image-related.
Stats
Basic efficientdet-pytorch repo stats
1
1,549
4.1
9 months ago
rwightman/efficientdet-pytorch is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of efficientdet-pytorch is Python.
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