拼图游戏
发表于 2025-3-21 16:29:06
书目名称Computer Vision – ECCV 2020影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0234211<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/ifr/?ISSN=BK0234211<br><br> <br><br>书目名称Computer Vision – ECCV 2020网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0234211<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/atr/?ISSN=BK0234211<br><br> <br><br>书目名称Computer Vision – ECCV 2020被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0234211<br><br> <br><br>书目名称Computer Vision – ECCV 2020被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0234211<br><br> <br><br>书目名称Computer Vision – ECCV 2020年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0234211<br><br> <br><br>书目名称Computer Vision – ECCV 2020年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0234211<br><br> <br><br>书目名称Computer Vision – ECCV 2020读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0234211<br><br> <br><br>书目名称Computer Vision – ECCV 2020读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0234211<br><br> <br><br>
Platelet
发表于 2025-3-21 23:10:09
Graph-Based Social Relation Reasoning,tions from an image has great potential for intelligent systems such as social chatbots and personal assistants. In this paper, we propose a simpler, faster, and more accurate method named graph relational reasoning network (GR.N) for social relation recognition. Different from existing methods whic
uveitis
发表于 2025-3-22 02:53:47
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一致性
发表于 2025-3-22 06:12:19
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency but they suffer from the ill-posed face pose and depth ambiguity issue. In contrast to previous works that only enforce 2D feature constraints, we propose a self-supervised training architecture by leveraging the multi-view geometry consistency, which provides reliable constraints on face pose and
大漩涡
发表于 2025-3-22 12:43:35
Asynchronous Interaction Aggregation for Action Detection,ages different interactions to boost action detection. There are two key designs in it: one is the Interaction Aggregation structure (IA) adopting a uniform paradigm to model and integrate multiple types of interaction; the other is the Asynchronous Memory Update algorithm (AMU) that enables us to a
名词
发表于 2025-3-22 15:54:36
Learning Attentive and Hierarchical Representations for 3D Shape Recognition,isting multi-view based methods, HEAR develops a unified framework to address both multi-view redundancy and single-view incompleteness. Specifically, HEAR firstly employs a hybrid attention (HA) module, which consists of a view-agnostic attention (VAA) block and a view-specific attention (VSA) bloc
名词
发表于 2025-3-22 20:28:22
TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture e to reduce human labor and expertise. However, the searched architectures are usually suboptimal in accuracy and may have large jitters around the target latency. In this paper, we rethink three freedoms of differentiable NAS, i.e. operation-level, depth-level and width-level, and propose a novel m
弓箭
发表于 2025-3-22 22:46:48
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Countermand
发表于 2025-3-23 01:33:05
Memory Selection Network for Video Propagation,e. Previous research mainly treats the previous adjacent frame as guidance, which, however, could make the propagation vulnerable to occlusion, large motion and inaccurate information in the previous adjacent frame. To tackle this challenge, we propose a memory selection network, which learns to sel
Hippocampus
发表于 2025-3-23 09:16:48
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