找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2021; 30th International C Igor Farka?,Paolo Masulli,Stefan Wermter Conference proc

[復(fù)制鏈接]
樓主: formation
41#
發(fā)表于 2025-3-28 15:01:21 | 只看該作者
Conference proceedings 2021Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes..In this volume, the papers focus on topics such as computer visi
42#
發(fā)表于 2025-3-28 18:46:21 | 只看該作者
0302-9743 g, explainable methods, few-shot learning and generative adversarial networks. . .*The conference was held online 2021 due to the COVID-19 pandemic..978-3-030-86339-5978-3-030-86340-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
43#
發(fā)表于 2025-3-29 01:41:46 | 只看該作者
44#
發(fā)表于 2025-3-29 03:49:24 | 只看該作者
Entwicklungstendenzen und Ausblick,plemented in the standard training and inference phases to boost the fined-grained classification accuracy. Our experimental results on extensive FGVC benchmark datasets show that the baseline model such as ResNeXt-50 can achieve competitive state-of-the-art performance by utilizing the proposed ROI-based-DAM, which demonstrate its effectiveness.
45#
發(fā)表于 2025-3-29 08:05:05 | 只看該作者
46#
發(fā)表于 2025-3-29 15:22:51 | 只看該作者
47#
發(fā)表于 2025-3-29 19:05:45 | 只看該作者
Learning How to Zoom In: Weakly Supervised ROI-Based-DAM for Fine-Grained Visual Classificationplemented in the standard training and inference phases to boost the fined-grained classification accuracy. Our experimental results on extensive FGVC benchmark datasets show that the baseline model such as ResNeXt-50 can achieve competitive state-of-the-art performance by utilizing the proposed ROI-based-DAM, which demonstrate its effectiveness.
48#
發(fā)表于 2025-3-29 21:40:22 | 只看該作者
49#
發(fā)表于 2025-3-30 01:45:30 | 只看該作者
0302-9743 erence on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes..In this volume, the papers focus on topics such as com
50#
發(fā)表于 2025-3-30 06:38:18 | 只看該作者
 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(ài)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(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 04:35
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
枝江市| 济阳县| 榕江县| 二连浩特市| 隆尧县| 龙州县| 宿州市| 邛崃市| 中西区| 安吉县| 察隅县| 德保县| 方城县| 秭归县| 抚顺市| 苏尼特左旗| 抚顺县| 临湘市| 清河县| 府谷县| 祥云县| 原阳县| 通许县| 灵宝市| 宜城市| 吴川市| 乌兰察布市| 青浦区| 余姚市| 休宁县| 祁阳县| 开原市| 富裕县| 荣昌县| 永顺县| 米易县| 阜阳市| 东光县| 周宁县| 久治县| 通化县|