InternImage
efficientdet-pytorch
InternImage | efficientdet-pytorch | |
---|---|---|
3 | 1 | |
2,327 | 1,554 | |
2.5% | - | |
4.6 | 4.1 | |
16 days ago | 10 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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InternImage
- What do you guys think of InternImage? - 65.5 mAP on COCO
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[D] What do you guys think of InternImage?
check out this readme for classification, in particularly the evaluation part: https://github.com/OpenGVLab/InternImage/tree/master/classification We will also be releasing a feature extraction script soon!
efficientdet-pytorch
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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.
What are some alternatives?
GCVit - [ICML 2023] Official PyTorch implementation of Global Context Vision Transformers
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
Yet-Another-EfficientDet-Pytorch - The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
involution - [CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL
automl - Google Brain AutoML