ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models

1 code implementation • 2 Apr 2024 • Minseop Jung, Minseong Kim, Jibum Kim

However, learning CAD models is still a challenge, because they can be represented as complex shapes with long construction sequences.

Contrastive Learning Data Augmentation +1

A Lightweight CNN-Transformer Model for Learning Traveling Salesman Problems

1 code implementation • 3 May 2023 • Minseop Jung, Jaeseung Lee, Jibum Kim

Experimental results show that the proposed CNN embedding layer and partial self-attention are very effective in improving performance and computational complexity.