找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Computer-Aided Design and Computer Graphics; 18th International C Shi-Min Hu,Yiyu Cai,Paul Rosin Conference proceedings 2024 The Editor(s)

[復制鏈接]
樓主: Waterproof
41#
發(fā)表于 2025-3-28 14:39:34 | 只看該作者
42#
發(fā)表于 2025-3-28 22:32:26 | 只看該作者
https://doi.org/10.1007/978-3-319-91620-0ard to capture the underlying patterns and traits of the few-shot classes. To meet the challenges, we propose a Self-supervised Contrastive Feature Refinement (SCFR) framework which tackles the FSCIL issue from three aspects. Firstly, we employ a self-supervised learning framework to make the networ
43#
發(fā)表于 2025-3-28 23:19:38 | 只看該作者
Conference proceedings 2024h took place in?Shanghai, China, during August 19–21, 2023..The 23 full papers included in this book were carefully reviewed and selected from 169 submissions. They focus on topics such as?computer graphics and CAD, 3D Printing and Computational Fabrication, 3D Vision, Bio-CAD and Nano-CAD, Computer
44#
發(fā)表于 2025-3-29 04:03:48 | 只看該作者
,Avant-Garde and Continuity 1887–1986,effectively solved. The experimental results on the CrowdPose dataset under the same experimental environment and image resolution show that the average accuracy of MsF-HigherHRNet is 69.7%, which is 1.7% higher than the average accuracy of HigherHRNet under the same configuration and has better robustness.
45#
發(fā)表于 2025-3-29 09:28:34 | 只看該作者
MsF-HigherHRNet: Multi-scale Feature Fusion for Human Pose Estimation in Crowded Scenes,effectively solved. The experimental results on the CrowdPose dataset under the same experimental environment and image resolution show that the average accuracy of MsF-HigherHRNet is 69.7%, which is 1.7% higher than the average accuracy of HigherHRNet under the same configuration and has better robustness.
46#
發(fā)表于 2025-3-29 13:42:43 | 只看該作者
47#
發(fā)表于 2025-3-29 17:50:06 | 只看該作者
48#
發(fā)表于 2025-3-29 21:57:40 | 只看該作者
Current Conditions of Rural Credit in China,DFP-Net, which takes the encoding matrices as input, extracts deeper features using the Encoder, and recognizes feature points using the Decoder. Our experiments on industrial parts demonstrate the superior efficiency of our method.
49#
發(fā)表于 2025-3-30 01:33:23 | 只看該作者
50#
發(fā)表于 2025-3-30 06:29:48 | 只看該作者
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-14 02:30
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
分宜县| 怀仁县| 卓资县| 伊吾县| 师宗县| 蕲春县| 华阴市| 阿坝| 银川市| 调兵山市| 阳曲县| 哈尔滨市| 宜春市| 上犹县| 大兴区| 阿勒泰市| 永靖县| 都江堰市| 安塞县| 白玉县| 武冈市| 霍山县| 珲春市| 林西县| 肃南| 南宁市| 准格尔旗| 怀集县| 阿巴嘎旗| 隆回县| 建水县| 阿拉善右旗| 鄂伦春自治旗| 屏山县| 徐水县| 新丰县| 江安县| 会理县| 肇庆市| 洛阳市| 宝兴县|