We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...
Abstract: Recently graph auto-encoders have received increasingly widespread attention as one of the important models in the field of deep learning. Existing graph auto-encoder models only use graph ...
Abstract: Motion Estimation (ME) is the most power consuming module in the video encoder due to its high computational complex operations. So designing an efficient ME hardware without losing coding ...
This Executor offers a GPU tag to speed up encoding. For more information on how to run the executor on GPU, check out the documentation. Now we support PointNet, PointConv, PointNet++, PointMLP, ...