找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computational Visual Media; 12th International C Fang-Lue Zhang,Andrei Sharf Conference proceedings 2024 The Editor(s) (if applicable) and

[复制链接]
楼主: 游牧
发表于 2025-3-26 21:56:39 | 显示全部楼层
: Learning General Trees for Structured Grid Layout Generationy when the datasets contain a small number of samples. We also demonstrate that the structured layout space constructed by our method enables structure blending between structured layouts. We will release our code upon the acceptance of the paper.
发表于 2025-3-27 01:33:15 | 显示全部楼层
Silhouette-Based 6D Object Pose Estimationto perform pose estimation through search, rendering, and comparison in a reduced-dimensional space efficiently and accurately. Experimental results demonstrate the high precision and generalization of the proposed method. Our code is available at ..
发表于 2025-3-27 07:05:21 | 显示全部楼层
Robust Light Field Depth Estimation over Occluded and Specular Regionsency, we propose a voting method to select the un-occluded pixels to obtain the initial depth of the occluded point. We use a method to determine the specular region based on similar features of color and texture in the superpixel region and then present an optimization energy function to obtain the
发表于 2025-3-27 10:38:56 | 显示全部楼层
Foreground and Background Separate Adaptive Equilibrium Gradients Loss for Long-Tail Object Detectioategories to weight different classes, then adaptively leverage the suppression of head classes according to the logit value of the network output. Meanwhile, dynamically adjusting the suppression gradient of the background classes to protect the head and common classes while improving the detection
发表于 2025-3-27 15:44:04 | 显示全部楼层
发表于 2025-3-27 21:18:19 | 显示全部楼层
发表于 2025-3-27 22:35:56 | 显示全部楼层
发表于 2025-3-28 02:40:08 | 显示全部楼层
Denoised Dual-Level Contrastive Network for Weakly-Supervised Temporal Sentence Groundingintra-video and inter-video loss. Moreover, a ranking weight strategy is presented to select high-quality positive and negative pairs during training. Afterward, an effective pseudo-label denoised process is introduced to alleviate the noisy activations caused by the video-level annotations, thereby
发表于 2025-3-28 10:17:44 | 显示全部楼层
发表于 2025-3-28 12:49:34 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-24 17:44
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表