LIEN 发表于 2025-3-26 23:18:39

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OVERT 发表于 2025-3-27 02:29:04

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forestry 发表于 2025-3-27 05:43:05

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倔强不能 发表于 2025-3-27 11:34:30

MEEM: Robust Tracking via Multiple Experts Using Entropy Minimizationataset of challenging sequences, we show that the proposed multi-expert restoration scheme significantly improves the robustness of our base tracker, especially in scenarios with frequent occlusions and repetitive appearance variations.

Kaleidoscope 发表于 2025-3-27 14:52:52

Monocular Multiview Object Tracking with 3D Aspect Parts dataset of challenging YouTube videos and a subset of the KITTI dataset that include significant viewpoint variations, as well as a standard sequence for car tracking. We demonstrate that our method is able to track the 3D aspect parts and the viewpoint of objects accurately despite significant changes in viewpoint.

HALL 发表于 2025-3-27 20:36:33

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probate 发表于 2025-3-28 01:59:12

Non-parametric Higher-Order Random Fields for Image Segmentation provide more precise segmentations. Other tasks such as image denoising and reconstruction are also possible. We evaluate our method on denoising and segmentation problems with synthetic and real images.

伦理学 发表于 2025-3-28 05:26:49

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BILL 发表于 2025-3-28 10:08:11

,Isolated Preparations: Dose—Response Data,scene geometry. The proposed Markov Random Field based approach is capable of handling large Internet photo collections with arbitrary viewpoints, dramatic appearance variation, and complicated scene layout. We show results that are visually compelling on a wide range of real-world landmarks.

ALT 发表于 2025-3-28 13:24:25

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查看完整版本: Titlebook: Computer Vision -- ECCV 2014; 13th European Confer David Fleet,Tomas Pajdla,Tinne Tuytelaars Conference proceedings 2014 Springer Internati