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