標(biāo)題: Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable [打印本頁(yè)] 作者: JADE 時(shí)間: 2025-3-21 18:16
書目名稱Neural Information Processing影響因子(影響力)
書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名
書目名稱Neural Information Processing網(wǎng)絡(luò)公開度
書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Neural Information Processing被引頻次
書目名稱Neural Information Processing被引頻次學(xué)科排名
書目名稱Neural Information Processing年度引用
書目名稱Neural Information Processing年度引用學(xué)科排名
書目名稱Neural Information Processing讀者反饋
書目名稱Neural Information Processing讀者反饋學(xué)科排名
作者: 值得贊賞 時(shí)間: 2025-3-21 21:55
Neural Information Processing978-981-99-8181-6Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 暴發(fā)戶 時(shí)間: 2025-3-22 02:34
Communications in Computer and Information Sciencehttp://image.papertrans.cn/n/image/663595.jpg作者: Medicare 時(shí)間: 2025-3-22 05:22 作者: 公理 時(shí)間: 2025-3-22 11:54
Road Meteorological State Recognition in Extreme Weather Based on an Improved Mask-RCNNffic accidents can increase dramatically in winter or during seasonal changes when extreme weather often occurs. To achieve real-time and automatic RSC monitoring, this paper first proposes an improved Mask-RCNN model based on Swin Transformer and path aggregation feature pyramid network (PAFPN) as 作者: Initiative 時(shí)間: 2025-3-22 13:36
I-RAFT: Optical Flow Estimation Model Based on?Multi-scale Initialization Strategynt performance improvements. However, existing models that employ recurrent neural networks to update optical flow from an initial value of 0 suffer from issues of instability and slow training. To address this, we propose a simple yet effective optical flow initialization module as part of the opti作者: ENDOW 時(shí)間: 2025-3-22 18:26 作者: nonplus 時(shí)間: 2025-3-22 22:38
LSiF: Log-Gabor Empowered Siamese Federated Learning for?Efficient Obscene Image Classification in?thole. It is crucial to tackle this problem by implementing efficient content moderation, educating users, and creating technologies and policies that foster a more secure and wholesome online atmosphere. To address this issue, this research proposes the Log-Gabor Empowered Siamese Federated Learning作者: 安定 時(shí)間: 2025-3-23 05:01
Depth Normalized Stable View Synthesis supposed to be as close as possible to the scene content. We present Deep Normalized Stable View Synthesis (DNSVS), an NVS method for large-scale scenes based on the pipeline of Stable View Synthesis (SVS). SVS combines neural networks with the 3D scene representation obtained from structure-from-m作者: Memorial 時(shí)間: 2025-3-23 08:59
Exploring the?Integration of?Large Language Models into?Automatic Speech Recognition Systems: An Emp The increasing sophistication of LLMs, with their in-context learning capabilities and instruction-following behavior, has drawn significant attention in the field of Natural Language Processing (NLP). Our primary focus is to investigate the potential of using an LLM’s in-context learning capabilit作者: Insatiable 時(shí)間: 2025-3-23 13:03 作者: EXPEL 時(shí)間: 2025-3-23 16:16
Multi-scale Context Aggregation for?Video-Based Person Re-Identificationfferent from previous methods that first extracted spatial features and later aggregated temporal features, we propose a Multi-scale Context Aggregation (MSCA) method in this paper to simultaneously learn spatial-temporal features from videos. Specifically, we design an Attention-aided Feature Pyram作者: 現(xiàn)實(shí) 時(shí)間: 2025-3-23 20:30 作者: POINT 時(shí)間: 2025-3-24 00:39
Text Spotting of?Electrical Diagram Based on?Improved PP-OCRv3often have high resolution, and the format of the text in them is also unique and densely distributed. These factors make the general-purpose text spotting models unable to detect and recognize the text effectively. In this paper, we propose a text spotting model based on improved PP-OCRv3 to achiev作者: Freeze 時(shí)間: 2025-3-24 03:35 作者: Soliloquy 時(shí)間: 2025-3-24 08:05 作者: Peristalsis 時(shí)間: 2025-3-24 10:58
Research on?Relation Extraction Based on?BERT with?Multifaceted Semanticsa sentence belong. In nowadays, researchers tend to use large-scale corpus to retrain language models for relation extraction, which requires too much relevant resources, besides, when analyzing the corpus, we found that in sentences where entities exist, different entities have different correlatio作者: 折磨 時(shí)間: 2025-3-24 16:44
NMPose: Leveraging Normal Maps for?6D Pose Estimationssed it by establishing 2D-3D correspondences and then applying a variant of the PnP algorithm. However, it is extraordinarily difficult to establish accurate 2D-3D correspondences for 6D pose estimation. In this work, we consider 6D pose estimation as a follow-up task to normal estimation so that p作者: irritation 時(shí)間: 2025-3-24 19:05
BFTracker: A One-Shot Baseline Model with?Fusion Similarity Algorithm Towards Real-Time Multi-object, which joins multiple tasks into a single network, achieves trade-offs between tracking speed and accuracy. Different from previous trackers’ practice of exchanging more extra calculation cost for tracking accuracy, a new one-shot baseline that is simple and efficient is proposed by us. We continue作者: anticipate 時(shí)間: 2025-3-24 23:10 作者: conscribe 時(shí)間: 2025-3-25 03:51 作者: VOC 時(shí)間: 2025-3-25 09:44 作者: 品嘗你的人 時(shí)間: 2025-3-25 15:05 作者: avenge 時(shí)間: 2025-3-25 16:16 作者: BOLT 時(shí)間: 2025-3-25 21:33 作者: 不幸的人 時(shí)間: 2025-3-26 03:23 作者: Congregate 時(shí)間: 2025-3-26 07:14 作者: 助記 時(shí)間: 2025-3-26 09:06 作者: 滑動(dòng) 時(shí)間: 2025-3-26 14:02
Xiaodi Wu,Zhiqiang Zhang,Wenxin Yu,Shiyu Chen,Yufei Gao,Peng Chen,Jun Gongd FAMILIES on the topic of product line engineering. The projects originated from the need of the industry to improve software engineering performance by organizing product development in product lines. The results obtained within the projects have been implemented in several large industries (e.g.,作者: habitat 時(shí)間: 2025-3-26 20:42 作者: 樹膠 時(shí)間: 2025-3-26 22:52 作者: conquer 時(shí)間: 2025-3-27 02:44 作者: 臭名昭著 時(shí)間: 2025-3-27 07:47 作者: Infirm 時(shí)間: 2025-3-27 09:54 作者: BOOR 時(shí)間: 2025-3-27 13:42
Kedong Wang,Qiang Zhu,Fang Kongd FAMILIES on the topic of product line engineering. The projects originated from the need of the industry to improve software engineering performance by organizing product development in product lines. The results obtained within the projects have been implemented in several large industries (e.g.,作者: 漫不經(jīng)心 時(shí)間: 2025-3-27 19:52
Chenyu Sun,Dawei Zhao,Shumian Yang,Lijuan Xu,Xin Lid FAMILIES on the topic of product line engineering. The projects originated from the need of the industry to improve software engineering performance by organizing product development in product lines. The results obtained within the projects have been implemented in several large industries (e.g.,作者: A簡(jiǎn)潔的 時(shí)間: 2025-3-27 22:12
Meng Dong,Xinhua Zhud FAMILIES on the topic of product line engineering. The projects originated from the need of the industry to improve software engineering performance by organizing product development in product lines. The results obtained within the projects have been implemented in several large industries (e.g.,作者: 民間傳說(shuō) 時(shí)間: 2025-3-28 02:49 作者: Ceramic 時(shí)間: 2025-3-28 08:24 作者: exacerbate 時(shí)間: 2025-3-28 11:38 作者: defray 時(shí)間: 2025-3-28 15:17
Jiezhang Li,Yue-Jiao Gong,Ting Huang,Wei-Neng Chened the EUREKA-ITEA projects ESAPS, CAFé, and FAMILIES on the topic of product line engineering. The projects originated from the need of the industry to improve software engineering performance by organizing product development in product lines. The results obtained within the projects have been imp作者: Asperity 時(shí)間: 2025-3-28 22:18 作者: 極為憤怒 時(shí)間: 2025-3-29 00:49
Road Meteorological State Recognition in Extreme Weather Based on an Improved Mask-RCNN of other popular methods, such as traditional Mask-RCNN, RetinaNet, Swin Double head RCNN, and Cascade Swin-RCNN, in terms of recognition accuracy and training speed. Moreover, this paper also designs a second experiment and proved that the proposed model can accurately detect road surface areas wh作者: 機(jī)警 時(shí)間: 2025-3-29 04:36
I-RAFT: Optical Flow Estimation Model Based on?Multi-scale Initialization Strategyels. Additionally, we introduce a novel multi-scale extraction module for capturing context features. Extensive experiments demonstrate the simplicity and effectiveness of our proposed model, with I-RAFT achieving state-of-the-art performance on the Sintel dataset and the second-best performance on 作者: 拾落穗 時(shí)間: 2025-3-29 10:40 作者: BARK 時(shí)間: 2025-3-29 13:18 作者: frugal 時(shí)間: 2025-3-29 18:59 作者: 雀斑 時(shí)間: 2025-3-29 23:46
Exploring the?Integration of?Large Language Models into?Automatic Speech Recognition Systems: An Empte further exploration with varied settings and models, the corrected sentences from the LLMs frequently resulted in higher Word Error Rates (WER), demonstrating the limitations of LLMs in speech applications. This paper provides a detailed overview of these experiments, their results, and implicati作者: 親屬 時(shí)間: 2025-3-30 02:46 作者: 向外 時(shí)間: 2025-3-30 07:45 作者: OATH 時(shí)間: 2025-3-30 11:11 作者: 搖擺 時(shí)間: 2025-3-30 14:19
Text Spotting of?Electrical Diagram Based on?Improved PP-OCRv3. Finally, a character re-identification module based on region extension and cutting is added during the text recognition to reduce the adverse effects of simple and dense character on the model. The experimental results show that our model has better performance than the state-of-the-art (SOTA) me作者: Hot-Flash 時(shí)間: 2025-3-30 19:06
A Malicious Code Family Classification Method Based on?RGB Images and?Lightweight Model, which allows for a more comprehensive representation of the features of the malicious sample. Finally, we propose a new neural network architecture, the MobileNetV2 lightweight model combined with Convolutional Block Attention Module (MVCBAM) approach for training and prediction. In addition, we c作者: 改正 時(shí)間: 2025-3-30 21:03
