VER
发表于 2025-3-21 18:12:40
书目名称Computer Vision – ECCV 2020影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0234217<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=BK0234217<br><br> <br><br>书目名称Computer Vision – ECCV 2020网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0234217<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=BK0234217<br><br> <br><br>书目名称Computer Vision – ECCV 2020被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0234217<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=BK0234217<br><br> <br><br>书目名称Computer Vision – ECCV 2020年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0234217<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=BK0234217<br><br> <br><br>书目名称Computer Vision – ECCV 2020读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0234217<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=BK0234217<br><br> <br><br>
Tdd526
发表于 2025-3-21 22:57:38
http://reply.papertrans.cn/24/2343/234217/234217_2.png
octogenarian
发表于 2025-3-22 02:51:28
http://reply.papertrans.cn/24/2343/234217/234217_3.png
加强防卫
发表于 2025-3-22 08:24:26
Simplicial Complex Based Point Correspondence Between Images Warped onto Manifolds,cess of higher-order assignment methods, has sparked an interest in the search for improved higher-order matching algorithms on warped images due to projection. Although, currently, several existing methods “flatten” such 3D images to use planar graph/hypergraph matching methods, they still suffer f
哑巴
发表于 2025-3-22 11:39:30
http://reply.papertrans.cn/24/2343/234217/234217_5.png
dura-mater
发表于 2025-3-22 16:09:29
Distance-Normalized Unified Representation for Monocular 3D Object Detection,bject detection, we introduce a single-stage and multi-scale framework to learn a unified representation for objects within different distance ranges, termed as UR3D. UR3D formulates different tasks of detection by exploiting the scale information, to reduce model capacity requirement and achieve ac
dura-mater
发表于 2025-3-22 18:35:12
http://reply.papertrans.cn/24/2343/234217/234217_7.png
黑豹
发表于 2025-3-22 23:36:21
Where to Explore Next? ExHistCNN for History-Aware Autonomous 3D Exploration,imation of the Next Best View (NBV) that maximises the coverage of the unknown area. We do this by re-formulating NBV estimation as a classification problem and we propose a novel learning-based metric that encodes both, the current 3D observation (a depth frame) and the history of the ongoing recon
ALOFT
发表于 2025-3-23 03:06:57
Semi-supervised Segmentation Based on Error-Correcting Supervision,oped recently. In this work, we augment such supervised segmentation models by allowing them to learn from unlabeled data. Our semi-supervised approach, termed Error-Correcting Supervision, leverages a collaborative strategy. Apart from the supervised training on the labeled data, the segmentation n
Progesterone
发表于 2025-3-23 07:04:56
http://reply.papertrans.cn/24/2343/234217/234217_10.png