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 and Image Processing; 7th International Co Deep Gupta,Kishor Bhurchandi,Sanjeev Kumar Conference proceedings 2023 The Edito

[復(fù)制鏈接]
樓主: Radiofrequency
31#
發(fā)表于 2025-3-26 22:49:11 | 只看該作者
32#
發(fā)表于 2025-3-27 02:18:26 | 只看該作者
33#
發(fā)表于 2025-3-27 06:27:26 | 只看該作者
Private Multiplication over Finite Fieldslandmarks, which conditions the network to produce template-shaped object segments. The performance of the proposed method was evaluated with . and . measures on the HELEN data set for lip segmentation. We observed perceptually superior segments with smooth object boundaries when compared to state-of-the-art techniques.
34#
發(fā)表于 2025-3-27 11:59:06 | 只看該作者
35#
發(fā)表于 2025-3-27 16:29:54 | 只看該作者
,Anomaly Detection in?ATM Vestibules Using Three-Stream Deep Learning Approach,ataset for finetuning object detection models to detect ATM class and temporal annotated video dataset to train the model for video anomaly detection in ATM vestibule. The presented work achieves a recall score of 0.93, and false positive rate of 0.13.
36#
發(fā)表于 2025-3-27 19:28:17 | 只看該作者
37#
發(fā)表于 2025-3-27 23:26:26 | 只看該作者
,Share-GAN: A Novel Shared Task Training in?Generative Adversarial Networks for?Data Hiding,owards attacks like Gaussian blurring, rotation, noise, and cropping. However, the model can be trained on any possible attacks to reduce noise sensitivity further. In this manuscript, we considered images as both messages and containers. However, the method can be extended to any combination of multi-media data.
38#
發(fā)表于 2025-3-28 03:41:45 | 只看該作者
,FlashGAN: Generating Ambient Images from?Flash Photographs, discriminator is employed to classify patches from each image as real or generated and penalize the network accordingly. Experimental results demonstrate that the proposed architecture significantly outperforms the current state-of-the-art, performing even better on facial images with homogenous backgrounds.
39#
發(fā)表于 2025-3-28 09:10:58 | 只看該作者
40#
發(fā)表于 2025-3-28 10:40:24 | 只看該作者
DeepTemplates: Object Segmentation Using Shape Templates,landmarks, which conditions the network to produce template-shaped object segments. The performance of the proposed method was evaluated with . and . measures on the HELEN data set for lip segmentation. We observed perceptually superior segments with smooth object boundaries when compared to state-of-the-art techniques.
 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 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, 2025-10-7 21:11
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
祁连县| 新巴尔虎右旗| 沁源县| 都昌县| 靖江市| 龙胜| 金寨县| 桐柏县| 沾益县| 图木舒克市| 宜君县| 洛浦县| 怀柔区| 密山市| 甘孜| 尖扎县| 平度市| 山阴县| 文化| 息烽县| 涪陵区| 蒙阴县| 东丽区| 正宁县| 肥城市| 黄浦区| 十堰市| 福鼎市| 波密县| 庐江县| 太原市| 洪雅县| 吉林市| 枣阳市| 浏阳市| 孟津县| 米易县| 沙湾县| 文安县| 广德县| 拜泉县|