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 Vision – ACCV 2022; 16th Asian Conferenc Lei Wang,Juergen Gall,Rama Chellappa Conference proceedings 2023 The Editor(s) (if applic

[復制鏈接]
樓主: frustrate
21#
發(fā)表于 2025-3-25 07:15:26 | 只看該作者
https://doi.org/10.1007/978-3-031-26348-4artificial intelligence; computer networks; computer systems; computer vision; databases; image analysis;
22#
發(fā)表于 2025-3-25 10:19:39 | 只看該作者
978-3-031-26347-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
23#
發(fā)表于 2025-3-25 12:32:31 | 只看該作者
24#
發(fā)表于 2025-3-25 17:33:56 | 只看該作者
Conference proceedings 2023cember 2022...The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics:..Part I: 3D computer vision; optimization methods;.Part II: applications of
25#
發(fā)表于 2025-3-25 22:48:23 | 只看該作者
26#
發(fā)表于 2025-3-26 03:50:18 | 只看該作者
Lecture Notes in Computer Scienceion of faces to approximate head pose. The experimental results indicate that the proposed method exhibits robust gaze estimation performance even in low-resolution face images with 28.28 pixels. The source code of this work is available at ..
27#
發(fā)表于 2025-3-26 07:27:07 | 只看該作者
28#
發(fā)表于 2025-3-26 11:13:22 | 只看該作者
Few-shot Metric Learning: Online Adaptation of?Embedding for?Retrievalset, .DeepFashion, demonstrate that our method consistently improves the learned metric by adapting it to target classes and achieves a greater gain in image retrieval when the domain gap from the source classes is larger.
29#
發(fā)表于 2025-3-26 13:21:22 | 只看該作者
HAZE-Net: High-Frequency Attentive Super-Resolved Gaze Estimation in?Low-Resolution Face Imagesion of faces to approximate head pose. The experimental results indicate that the proposed method exhibits robust gaze estimation performance even in low-resolution face images with 28.28 pixels. The source code of this work is available at ..
30#
發(fā)表于 2025-3-26 17:21:59 | 只看該作者
Continuous Self-study: Scene Graph Generation with?Self-knowledge Distillation and?Spatial Augmentathod is adopted to augment spatial features and supplement relationship information. On the Visual Genome benchmark, experiments show that the proposed CSS achieves obvious improvements over the previous state-of-the-art methods. Our code is available at ..
 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 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, 2026-1-25 07:12
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
宁海县| 武邑县| 沙坪坝区| 榆树市| 卢龙县| 西和县| 南岸区| 临沂市| 上饶市| 昌都县| 桐庐县| 定边县| 肇州县| 梁平县| 温泉县| 博爱县| 博湖县| 云梦县| 和龙市| 呼伦贝尔市| 太康县| 新源县| 壶关县| 安乡县| 乌什县| 泰来县| 镇原县| 金溪县| 从化市| 合川市| 旺苍县| 南郑县| 中西区| 渭南市| 长泰县| 临邑县| 普宁市| 伊宁县| 永靖县| 黄陵县| 东方市|