3 papers
cs.CV2026
Tunable Soft Equivariance with Guarantees
Md Ashiqur Rahman, Lim Jun Hao, Jeremiah Jiang +2
Equivariance is a fundamental property in computer vision models, yet strict equivariance is rarely satisfied in real-world data, which can limit a model's performance. Controlling…
cs.CV2025
Shift-Equivariant Complex-Valued Convolutional Neural Networks
Quentin Gabot, Teck-Yian Lim, Jérémy Fix +3
Convolutional neural networks have shown remarkable performance in recent years on various computer vision problems. However, the traditional convolutional neural network architect…
cs.CV2025
Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer
Md Ashiqur Rahman, Chiao-An Yang, Michael N. Cheng +4
Scale variation is a fundamental challenge in computer vision. Objects of the same class can have different sizes, and their perceived size is further affected by the distance from…