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: Artificial Neural Networks and Machine Learning – ICANN 2024; 33rd International C Michael Wand,Kristína Malinovská,Igor V. Tetko Conferenc

[復(fù)制鏈接]
樓主: burgeon
41#
發(fā)表于 2025-3-28 16:46:54 | 只看該作者
42#
發(fā)表于 2025-3-28 19:57:57 | 只看該作者
43#
發(fā)表于 2025-3-28 23:54:12 | 只看該作者
44#
發(fā)表于 2025-3-29 03:22:40 | 只看該作者
45#
發(fā)表于 2025-3-29 11:04:45 | 只看該作者
46#
發(fā)表于 2025-3-29 11:35:26 | 只看該作者
Cross-Modal Attention Alignment Network with?Auxiliary Text Description for?Zero-Shot Sketch-Based ILLM with several interrogative sentences, (ii) a Feature Extraction Module that includes two ViTs for sketch and image data, a transformer for extracting tokens of sentences of each training category, finally (iii) a Cross-modal Alignment Module that exchanges the token features of both text-sketch
47#
發(fā)表于 2025-3-29 18:11:17 | 只看該作者
Exploring Interpretable Semantic Alignment for?Multimodal Machine Translationalysis of the results demonstrates the effectiveness and interpretability of our model, which is highly competitive compared to the baseline. Further exploration of extractors in MMT shows that a large multimodal pre-trained model can provide more fine-grained semantic alignment, thus giving it an a
48#
發(fā)表于 2025-3-29 22:35:09 | 只看該作者
Modal Fusion-Enhanced Two-Stream Hashing Network for?Cross Modal Retrievalon matrices between modalities. Subsequently, by adjusting the similarity weights of the fusion matrix between modalities, we shorten the distances between the most similar instance pairs and increase the distances between the most dissimilar instance pairs, thereby generating hash codes with higher
49#
發(fā)表于 2025-3-30 01:26:51 | 只看該作者
Text Visual Question Answering Based on?Interactive Learning and?Relationship Modeling (RPRET) layer is introduced to model the relative position relationship between different modalities in the image, thereby improving the performance of answering the question related to spatial position relationships. The proposed method outperforms various state-of-the-art models on two public dat
50#
發(fā)表于 2025-3-30 05:47:34 | 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-24 04:20
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
遵义市| 永兴县| 永年县| 舒城县| 商河县| 绥化市| 泉州市| 贞丰县| 宣威市| 中江县| 巴中市| 英山县| 盐亭县| 长宁区| 巢湖市| 中超| 和田市| 克山县| 通道| 离岛区| 织金县| 夏津县| 宁蒗| 桂平市| 张家港市| 会宁县| 汕尾市| 本溪市| 深圳市| 罗城| 神池县| 汝南县| 伊吾县| 阳原县| 镇平县| 潼南县| 湘乡市| 全椒县| 微山县| 喀喇沁旗| 长宁区|