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Found 5 papers, 0 papers with code
Sparse Point Guided 3D Lane Detection
The high-resolution local information brought by sparse points refines 3D lanes in the BEV space hierarchically from low resolution to high resolution.
Parameterized Cost Volume for Stereo Matching
In this paper, we propose a parameterized cost volume to encode the entire disparity space using multi-Gaussian distribution.
FoggyStereo: Stereo Matching With Fog Volume Representation
Stereo matching in foggy scenes is challenging as the scattering effect of fog blurs the image and makes the matching ambiguous.
A Decomposition Model for Stereo Matching
In this paper, we present a decomposition model for stereo matching to solve the problem of excessive growth in computational cost (time and memory cost) as the resolution increases.
Content-Aware Inter-Scale Cost Aggregation for Stereo Matching
In this paper, we present a content-aware inter-scale cost aggregation method that adaptively aggregates and upsamples the cost volume from coarse-scale to fine-scale by learning dynamic filter weights according to the content of the left and right views on the two scales.
