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Found 4 papers, 2 papers with code
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium
Our novel update pipeline uses a deep equilibrium model framework to iteratively refine depth estimates and a hidden state of feature maps by computing local matching costs based on epipolar geometry.
DGSS : Domain Generalized Semantic Segmentation using Iterative Style Mining and Latent Representation Alignment
This framework allows us to achieve a domain generalized semantic segmentation algorithm with consistent performance without prior information of the target domain while relying on a single source.
Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation
Volumetric deep learning approach towards stereo matching aggregates a cost volume computed from input left and right images using 3D convolutions.
Retaining Image Feature Matching Performance Under Low Light Conditions
Poor image quality in low light images may result in a reduced number of feature matching between images.
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