GitHub

SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation

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 ...
IEEE

Random Walk Graph Auto-Encoders With Ensemble Networks in Graph Embedding

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 ...
How-To Geek on MSN

6 useful parts you can salvage from a broken old printer

These components are probably the most valuable parts you can salvage from old gear. They are essential if you are working on ...
IEEE

Recurrent Encoder–Decoder Networks for Vessel Trajectory Prediction With Uncertainty Estimation

Abstract: Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical automatic identification system (AIS) data and accurately predict ...