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(fù)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(guān)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(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) 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(xué) 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 07:10
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(fù) 返回頂部 返回列表
保山市| 政和县| 苗栗县| 滨海县| 长葛市| 那曲县| 大方县| 鹤峰县| 青阳县| 五寨县| 辽宁省| 山西省| 台江县| 饶平县| 鞍山市| 韶关市| 鄂尔多斯市| 东辽县| 石阡县| 通渭县| 长子县| 孟州市| 高陵县| 抚州市| 周至县| 宁河县| 临朐县| 自贡市| 运城市| 扶余县| 昌图县| 凤凰县| 姚安县| 乌兰浩特市| 宁明县| 新化县| 嘉义市| 建平县| 诏安县| 鹤峰县| 南汇区|