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Hi, thank you for sharing this brilliant automl tool!I wish I could implement your code, but in most industry scene tasks are complicated and will not be able to be solved by classification.
When would you provide adanet for object detection task? Or do you have the plan?
I find out that most popular automl tools are not capable to apply on task like object detection, semantic segmantation, such as autokeras. Could you please tell me the most significant technical barrier to search networks architectures like faster rcnn?
I would appreciate your reply, thanks.
The text was updated successfully, but these errors were encountered:
Thank you for your kind words. We would like to make AdaNet as flexible as possible to support different real-world tasks. Could you please provide some examples of object detection datasets and/or frameworks we could look at for inspiration? Do you know if any of them are implemented in TensorFlow using the tf.estimator.Estimator API?
I am interested in using AdaNet for semantic segmentation. It seems to me that the main thing that would need to be implemented is an appropriate head for use in the AdaNet Estimator.
Hi, thank you for sharing this brilliant automl tool!I wish I could implement your code, but in most industry scene tasks are complicated and will not be able to be solved by classification.
When would you provide adanet for object detection task? Or do you have the plan?
I find out that most popular automl tools are not capable to apply on task like object detection, semantic segmantation, such as autokeras. Could you please tell me the most significant technical barrier to search networks architectures like faster rcnn?
I would appreciate your reply, thanks.
The text was updated successfully, but these errors were encountered: