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ContextDesc: Local Descriptor Augmentation with Cross-Modality Context

, , , , , , , и . (2019)cite arxiv:1904.04084Comment: Accepted to CVPR 2019 (oral), supplementary materials included. (https://github.com/lzx551402/contextdesc).

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Visibility-aware Multi-view Stereo Network., , , , и . BMVC, BMVA Press, (2020)Matchable Image Retrieval by Learning from Surface Reconstruction., , , , , , и . ACCV (1), том 11361 из Lecture Notes in Computer Science, стр. 415-431. Springer, (2018)Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference., , , , , и . CVPR, стр. 5525-5534. Computer Vision Foundation / IEEE, (2019)ContextDesc: Local Descriptor Augmentation With Cross-Modality Context., , , , , , , и . CVPR, стр. 2527-2536. Computer Vision Foundation / IEEE, (2019)Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction., , , , , , , и . ECCV (15), том 12360 из Lecture Notes in Computer Science, стр. 364-379. Springer, (2020)Affine-based Deformable Attention and Selective Fusion for Semi-dense Matching., , , , , , , , , и 1 other автор(ы). CoRR, (2024)MVSNet: Depth Inference for Unstructured Multi-view Stereo, , , , и . (2018)cite arxiv:1804.02505Comment: Accepted to European Conference on Computer Vision (ECCV 2018).Learning to Match Features with Seeded Graph Matching Network., , , , , , , и . ICCV, стр. 6281-6290. IEEE, (2021)GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints., , , , , , , и . ECCV (9), том 11213 из Lecture Notes in Computer Science, стр. 170-185. Springer, (2018)D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features., , , , , и . CVPR, стр. 6358-6366. Computer Vision Foundation / IEEE, (2020)