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MIST: Multiple Instance Spatial Transformer.

, , , , и . CVPR, стр. 2412-2422. Computer Vision Foundation / IEEE, (2021)

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Kwang-w Yi

Kwang Park

Moo-Young Huh

Yong-Moo Kim

Kyoung Moo Choi

 

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Estimating Visual Information From Audio Through Manifold Learning., , , , и . CoRR, (2022)NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds., , , , , , и . CoRR, (2022)Unsupervised Semantic Correspondence Using Stable Diffusion., , , , , , и . CoRR, (2023)VoronoiNet: General Functional Approximators with Local Support., , , и . CoRR, (2019)Image Matching across Wide Baselines: From Paper to Practice., , , , , , и . CoRR, (2020)MIST: Multiple Instance Spatial Transformer Network., , , и . CoRR, (2018)Learning to Find Good Correspondences., , , , , и . CVPR, стр. 2666-2674. Computer Vision Foundation / IEEE Computer Society, (2018)ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning., , , , и . CVPR, стр. 11283-11292. Computer Vision Foundation / IEEE, (2020)Kubric: A scalable dataset generator., , , , , , , , , и 24 other автор(ы). CVPR, стр. 3739-3751. IEEE, (2022)A Simple Method to Boost Human Pose Estimation Accuracy by Correcting the Joint Regressor for the Human3.6m Dataset., , и . CRV, стр. 1-7. IEEE, (2022)