228 citations · 1.5k across the 123 of their papers we have counts for
4 papers · 1 filter
Data-Efficient Graph Embedding Learning for PCB Component Detection
Chia-Wen Kuo, Jacob Ashmore, David Huggins +1
This paper presents a challenging computer vision task, namely the detection of generic components on a PCB, and a novel set of deep-learning methods that are able to jointly lever…
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
Yen-Chang Hsu, Yen-Cheng Liu, Anita Ramasamy +1
Continual learning has received a great deal of attention recently with several approaches being proposed. However, evaluations involve a diverse set of scenarios making meaningful…
A probabilistic constrained clustering for transfer learning and image category discovery
Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser +2
Neural network-based clustering has recently gained popularity, and in particular a constrained clustering formulation has been proposed to perform transfer learning and image cate…
Learning to Cluster for Proposal-Free Instance Segmentation
Yen-Chang Hsu, Zheng Xu, Zsolt Kira +1
This work proposed a novel learning objective to train a deep neural network to perform end-to-end image pixel clustering. We applied the approach to instance segmentation, which i…