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[arXiv'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation

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What's your superiority compared with the work [Multi-view Aggregation Network for Dichotomous Image Segmentation]?

x4 = self.squeeze_module(x4): RuntimeError: Given groups=1, weight of size [64, 3712, 3, 3], expected input[4, 1856, 128, 128] to have 3712 channels, but got 1856 channels instea

TODO

Hi ! Firstly amazing work ! Not really an issue but more a question. By reading the white paper, I am not sure if you can choose what to segment...

Box-guidance

Hello, The inference speed is extremely slow. I am doing the inference with GPU, but its the same i am doing with u2net and ths speed there is 12x faster....

First of all, thank you for your great project. I want to ask you for some recommendation about finetuning with a small dataset (Around 400 images), my problem is main...

Fine-tuning

Hey ZhengPeng, I'm interested in helping you to convert this model to CoreML, so it can run on Apple device locally. I'm planning to take a look in late August...

ONNX
Need Your HELP
CoreML

Hey @ZhengPeng7 I have been busy not been able to keep up with your progress I see many models on the drive ( stuff ) which is the best ones...

Hi, First of all thanks for developing this and making them available for the community. I've downloaded the onnx models and i found they are not as accurate as the...

Do you plan to build an Onnx export? I like deploying models with Onnx to reduce dependencies and use the model in C++.

ONNX

Great work! I noticed that the "general use task" model in model zoo use many matting dataset for training, such as TR-P3M-10k. The GT mask value is between [0,1]. So...