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MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation.

, , , , , и . ICCV, стр. 8720-8730. IEEE, (2023)

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Su-Jeong Jeong

Wonrae Jeong

Hyung-Gon Jeong

Hang-Kyun Jeong

Chang-Kyo Jeong

 

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DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow., , , , и . CVPR Workshops, стр. 2220-2229. IEEE, (2023)SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations., , , , , и . CoRR, (2024)MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation., , , , , и . ICCV, стр. 8720-8730. IEEE, (2023)Self-Training using Selection Network for Semi-supervised Learning., , и . ICPRAM, стр. 23-32. SCITEPRESS, (2020)Two-layer Residual Feature Fusion for Object Detection., , , и . ICPRAM, стр. 352-359. SciTePress, (2019)Class-Imbalanced Semi-Supervised Learning., , и . CoRR, (2020)MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection., , , , , и . CVPR, стр. 14492-14501. IEEE, (2022)Interpolation-Based Semi-Supervised Learning for Object Detection., , , , и . CVPR, стр. 11602-11611. Computer Vision Foundation / IEEE, (2021)Superpixel-based semantic segmentation trained by statistical process control., , , и . BMVC, BMVA Press, (2017)Enhancement of SSD by concatenating feature maps for object detection., , и . BMVC, BMVA Press, (2017)