The forward pass of the nms and roi_align operators now support tensors with a quantized dtype, which can help lower the memory footprint of object detection models, particularly on mobile environments. For more details, refer to the documentation. 
(Stable) Speed optimizations for Tensor transforms
The resize and flip transforms have been optimized and its runtime improved by up to 5x on the CPU. 
(Stable) Documentation improvements
Significant improvements were made to the documentation. In particular, a new gallery of examples is available. These examples visually illustrate how each transform acts on an image, and also properly documents and illustrates the output of the segmentation models.