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Found 4 papers, 1 papers with code
Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction
Learnable keypoint detectors and descriptors are beginning to outperform classical hand-crafted feature extraction methods.
Real-Time Lane ID Estimation Using Recurrent Neural Networks With Dual Convention
We interpret this task as a classification problem by limiting the maximum number of lane candidates to eight.
Learnable Exposure Fusion for Dynamic Scenes
To the best of our knowledge, no efficient and robust CNN-based end-to-end approach can be found in the literature for this kind of problem.
Monocular Depth Estimation by Learning from Heterogeneous Datasets
Depth estimation provides essential information to perform autonomous driving and driver assistance.
Ranked #44 on
Monocular Depth Estimation
on KITTI Eigen split
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