2 papers
cs.CV2024
Causal Transformer for Fusion and Pose Estimation in Deep Visual Inertial Odometry
Yunus Bilge Kurt, Ahmet Akman, A. Aydın Alatan
In recent years, transformer-based architectures become the de facto standard for sequence modeling in deep learning frameworks. Inspired by the successful examples, we propose a c…
cs.CV2021
DFM: A Performance Baseline for Deep Feature Matching
Ufuk Efe, Kutalmis Gokalp Ince, A. Aydin Alatan
A novel image matching method is proposed that utilizes learned features extracted by an off-the-shelf deep neural network to obtain a promising performance. The proposed method us…