Shiji Song

Depth Control of Model-Free AUVs via Reinforcement Learning

2017 · arXiv (Cornell University)

In this paper, we consider depth control problems of an autonomous underwater vehicle (AUV) for tracking the desired depth trajectories. Due to the unknown dynamical model of the AUV, the problems cannot be solved by …

Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework

2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Self-supervised learning has shown its great potential to extract powerful visual representations without human annotations. Various works are proposed to deal with self-supervised learning from different perspectives: (1) contrastive learning methods (e.g., MoCo, SimCLR) utilize …

OStr-DARTS: Differentiable Neural Architecture Search Based on Operation Strength

2024 · IEEE Transactions on Cybernetics

Differentiable architecture search (DARTS) has emerged as a promising technique for effective neural architecture search, and it mainly contains two steps to find the high-performance architecture. First, the DARTS supernet that consists of mixed operations …