Looks great! Nice job

Thank you very much!

By pyramid do you mean itti&koch’s work?

Not bad, but still seeing a ton of white pixels around your edges when the image is placed on a darker background. The Apple results are much better compared.

Thank you for your opinion! However, can you check the results once more? Our result which is the last one clearly shows better result by corretly segmenting the propeller and the landing gear parts while apple's result ignores the propeller and shows many white pixels around the landing gear.

Also, while we agree that in other cases, Apple's tool might show better results compared to us, but I just wanted to share my work which can work better in some cases with relatively less training images (I guess) compared to the companys' official tool like Apple's.

Thank you for your attention! That's right. Previous deep learning based segmentation models already used their pyramid structure and we improved this structure for high resolution scenario.

Cool. What's your ROI graph look like for the saliency detection part? Or is that classified?

Great job, tried the popular remove.bg service and result look better than theirs. https://i.imgur.com/ZCIURkA.png

I assume the code is open source. Are there any licensing requirements if someone were to use this commercially?

Thank you very much for noticing!

We use MIT licence which means you can use our code freely as long as all copies of the software or its substantial portions include a copy of the terms of the MIT License and also a copyright notice. Please check the Licence part of our repository. Thanks!

Salient object detection including my method using deep learning outputs pixel-wise binary classification result.

Have you run into any use cases where bg removal suffers?

We also have some problem with detecting all object in the given image. It is quite common problem for salient object detection because objects in the the dataset are usually center-biased. It could be our next research topic!

What's the reason for the smoke effect https://imgur.com/a/GGdWIig instead of sharp outline? Open in new tab (white bg)

Thank you for letting me know about the problem. It's actually quite common in those kind of background removal tools. When the model is not sure whether the region is a part of salient object or not, it produces such artifacts. It could happen for both our method and other companies' tool. We can avoid that problem by training the model with various scenes which is what I'm planning to in the future release.

Tools like remove.bg or Apple's native tool are provided commercially, so they must have been using massive dataset including their privately annotated ground truths. We don't think that we can outperform in every scenario than theirs, but I'm trying my best training my method with the datasets which are available for me now.

Stay tuned for the future updates!

i've got some good images with your tool, this one was not bad too, aesthetically. Would implementing depth map work? although it would add another GPU intensive task. Keep going, Good luck.

Using depth map would definitely be a great option. Thank you for your kind comment!

if you want to check depth map take a look at this paper, they claim better edge detection, valuable for eg. the wires of san Francisco bridge, etc

Thanks a lot