Abstract: This paper rethinks image histogram matching (HM) and proposes a differentiable and parametric HM preprocessing for a downstream classifier. Convolutional neural networks have demonstrated ...

, the code uses TensorFlow's tf.image.decode_jpeg to handle JPEG decoding. This means anyone using the multimodal features has to install the full TensorFlow package, which is pretty heavy (several ...

As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. This dataset contains a collection of annotated ultrasound ...

Abstract: Hyperspectral image classification methods based on subgraph neural networks (SGNNs) are rarely explored, and its advantage is that it can alleviate the neighbor explosion problem. After ...