Image Processing with Cellular Neural Networks in Python - ankitaggarwal011 ... I have written a blog post, available at Image Processing in CNN with Python on Raspberry Pi. The library was used in my ...

This paper presents a grounded language-image pre-training (GLIP) model for learning object-level, language-aware, and semantic-rich visual representations. GLIP unifies object detection and phrase ...

In response to the poor robustness of current image grayscale methods in handling outliers, this paper proposes a new contrast-preserving grayscale method based on Pseudo Huber loss. The method aims ...

tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems. Project created with the objective to make the process of ...

We introduce Frame Interpolation Pre-training (FIP), a simple learning technique for lifting deep image denoisers to video denoising with improved implicit temporal alignment. Modern video denoising ...