连续不断 发表于 2025-3-21 17:37:53
书目名称Computer Vision – ECCV 2020影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0234235<br><br> <br><br>书目名称Computer Vision – ECCV 2020影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0234235<br><br> <br><br>书目名称Computer Vision – ECCV 2020网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0234235<br><br> <br><br>书目名称Computer Vision – ECCV 2020网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0234235<br><br> <br><br>书目名称Computer Vision – ECCV 2020被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0234235<br><br> <br><br>书目名称Computer Vision – ECCV 2020被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0234235<br><br> <br><br>书目名称Computer Vision – ECCV 2020年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0234235<br><br> <br><br>书目名称Computer Vision – ECCV 2020年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0234235<br><br> <br><br>书目名称Computer Vision – ECCV 2020读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0234235<br><br> <br><br>书目名称Computer Vision – ECCV 2020读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0234235<br><br> <br><br>Glaci冰 发表于 2025-3-21 21:03:41
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Adaptive Text Recognition Through Visual Matching,itive nature of characters in languages, and decouples the visual decoding and linguistic modelling stages through intermediate representations in the form of .. By doing this, we turn text recognition into a visual matching problem, thereby achieving generalization in appearance and flexibility ingastritis 发表于 2025-3-22 07:12:07
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Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wilous methods, we make two main contributions: First, instead of comparing real-world images and synthetic renderings in the RGB or mask space, we compare them in a feature space optimized for 3D pose refinement. Second, we introduce a novel differentiable renderer that learns to approximate the raste嬉耍 发表于 2025-3-22 14:46:45
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General 3D Room Layout from a Single View by Render-and-Compare,contrast with previous single-view methods restricted to cuboid-shaped layouts. This input view can consist of a color image only, but considering a depth map results in a more accurate reconstruction. Our approach is formalized as solving a constrained discrete optimization problem to find the set伪造 发表于 2025-3-23 07:06:22
Neural Dense Non-Rigid Structure from Motion with Latent Space Constraints, 2D point tracks. Compared to the competing methods, our combination of loss functions is fully-differentiable and can be readily integrated into deep-learning systems. We formulate the deformation model by an auto-decoder and impose subspace constraints on the recovered latent space function in a f