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One of the main advantages of caffe for me was the possibility of doing transfer learning on freely distributed pretrained models.
Is there a place to get trained models from papers/competitions in tensorflow format?
If not, is there a possibility to convert existing caffe(or any other) models into tensorflow models?
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TensorFlow 2 Detection Model Zoo We provide a collection of detection models pre-trained on the COCO 2017 dataset. These models can be useful for out-of-the-box inference if you are interested in categories already in those datasets. You can try it in our inference colab.
OpenVINO™ Toolkit's Open Model Zoo is a repository of pre-trained deep learning models and demos that developers can use to speed-up the development and production deployment process.
In releasing Detectron2, the Facebook Artificial Intelligence Research team also released a model zoo. The Detectron2 model zoo includes pre-trained models for a variety of tasks: object detection, semantic segmentation, and keypoint detection.
SSD-MobileNet V2 Trained on MS-COCO Data Released in 2019, this model is a single-stage object detection model that goes straight from image pixels to bounding box coordinates and class probabilities.
You can likely use the caffe to tensorflow model converter to convert model zoo models. If you try it and report back, it would be great to know. There's a potential issue with converting maxpooling and padding, but it seems to work for many models.
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As of now, official TF github page has a list with the group of models. Also you can use keras.applications which has pretrained models.
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