2 papers
cs.CV2025
Anomaly Triplet-Net: Progress Recognition Model Using Deep Metric Learning Considering Occlusion for Manual Assembly Work
Takumi Kitsukawa, Kazuma Miura, Shigeki Yumoto +3
In this paper, a progress recognition method consider occlusion using deep metric learning is proposed to visualize the product assembly process in a factory. First, the target ass…
cs.LG2024
State-Free Inference of State-Space Models: The Transfer Function Approach
Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro +10
We approach designing a state-space model for deep learning applications through its dual representation, the transfer function, and uncover a highly efficient sequence parallel in…