作者: 壓迫 時間: 2025-3-22 00:18
978-3-031-44136-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 染色體 時間: 2025-3-22 02:03 作者: defenses 時間: 2025-3-22 05:57
https://doi.org/10.1007/978-3-030-67235-5es. The important attention given to the FER application is translated by the various architectures and datasets proposed to develop efficient automatic FER frameworks. This paper proposes a new, yet efficient appearance-based deep framework for dynamic FER referred to as Dedicated Encoding-streams 作者: Bother 時間: 2025-3-22 11:56
The Deconfinement Transition of QCDf Daily Living (ADLs) without any conscious effort on the part of the user. This study explores the feasibility of using 2D hand and object pose information for egocentric action recognition. While current literature focuses on 3D hand pose information, our work shows that using 2D skeleton data is 作者: 碌碌之人 時間: 2025-3-22 16:34
https://doi.org/10.1007/978-3-319-93617-8constrained environments while preserving visual privacy. Despite the presence of numerous WiFi-enabled devices around us, few expose CSI to users, resulting in a lack of sensing hardware options. Recently, variants of the Espressif ESP32 have emerged as potential low-cost, easy-to-deploy solutions 作者: 碌碌之人 時間: 2025-3-22 18:45 作者: 谷類 時間: 2025-3-23 00:46
Amparo Serrano-Pascual,Maria Jepsenring and hearing societies. In addition, the sign language in each country differs significantly, which obliges the creation of new data for each of them. This paper presents the Russian Sign Language (RSL) video dataset Slovo, produced using crowdsourcing platforms. The dataset contains 20,000 Full作者: 黑豹 時間: 2025-3-23 04:23
Amparo Serrano-Pascual,Maria Jepseng HR measurement into Driver Monitoring Systems (DMS), providing physiological measurements to help address long-existing road safety issues by minimising human error. In real-world driving scenarios, the HR must be measured using non-contact approaches that avoid distracting or restricting the driv作者: carotenoids 時間: 2025-3-23 09:37 作者: flammable 時間: 2025-3-23 10:46
The Decubitus Ulcer in Clinical Practices and appropriate treatment, more and more women are being cured. Among screening methods, mammography is one of the most used, and segmentation is a crucial step of its analysis. Starting from an enhanced version of the GrowCut segmentation technique, the goal of this paper is to automatically gene作者: artifice 時間: 2025-3-23 16:13
Incidence, Prevalence, and Classification regular invasive and time-consuming biopsies followed by histopathological analysis. Deep learning has the potential to significantly enhance speed and objectivity and introduce new information from the obtained sample to increase the chances of predicting rejection. Our study presents several deep作者: Urea508 時間: 2025-3-23 19:43 作者: 弄臟 時間: 2025-3-24 00:14 作者: Biomarker 時間: 2025-3-24 03:23
https://doi.org/10.1007/978-3-642-37747-1obotic harvester requires the precise location and orientation of the fruit to effectively plan the trajectory of the end effector. The current methods for estimating fruit orientation employ either complete 3D information registered from multiple views or rely on fully-supervised learning technique作者: neutralize 時間: 2025-3-24 06:36 作者: Accord 時間: 2025-3-24 12:53 作者: defile 時間: 2025-3-24 16:46 作者: 集中營 時間: 2025-3-24 21:08 作者: 吹牛需要藝術(shù) 時間: 2025-3-25 01:04
Computer Vision Systems978-3-031-44137-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 昏睡中 時間: 2025-3-25 07:05
Conference proceedings 2023?..The 37 full papers presented were carefully reviewed and selected from 74 submissions.?The conference focuses on?Humans and Hands;?Medical and Health Care;?Farming and Forestry;?Automation and Manufacturing;?Mobile Robotics and Autonomous Systems;??and?Performance and Robustness..作者: 注意到 時間: 2025-3-25 10:05
The Deconfinement Transition of QCDlable benchmark, outperforming other existing solutions by 9% and proving that the presented technique offers a successful alternative to 3D-based approaches. Finally, the ablation study shows the significance of each network input and explores potential ways to improve the presented methodology in future research.作者: 使高興 時間: 2025-3-25 13:07
The Decubitus Ulcer in Clinical Practice for various radius dimensions and two background seeds variants, concluding that the best combination is a circle with a radius of 25 pixels as foreground seeds and the black pixels from the original image as background seeds.作者: organism 時間: 2025-3-25 16:14
Hands, Objects, Action! Egocentric 2D Hand-Based Action Recognitionlable benchmark, outperforming other existing solutions by 9% and proving that the presented technique offers a successful alternative to 3D-based approaches. Finally, the ablation study shows the significance of each network input and explores potential ways to improve the presented methodology in future research.作者: ARC 時間: 2025-3-25 19:59 作者: hazard 時間: 2025-3-26 01:26
0302-9743 er 2023..??..The 37 full papers presented were carefully reviewed and selected from 74 submissions.?The conference focuses on?Humans and Hands;?Medical and Health Care;?Farming and Forestry;?Automation and Manufacturing;?Mobile Robotics and Autonomous Systems;??and?Performance and Robustness..978-3-作者: GENRE 時間: 2025-3-26 06:24
https://doi.org/10.1007/978-3-642-60509-3 keypoint density is used to create overlay masks to augment images, emphasizing low-density areas—typically corresponding to weed plants. Our method is shown to improve detection . on the YOLOR-CSP detector by up to 0.0215.作者: Mortal 時間: 2025-3-26 09:05 作者: 壓倒性勝利 時間: 2025-3-26 15:43 作者: 擺動 時間: 2025-3-26 16:59
Amparo Serrano-Pascual,Maria Jepsenectiveness and demonstrate the value of depth data in accurately recognizing sign language gestures. Our experiments show that our proposed generative depth architecture outperforms an RGB-only counterpart.作者: 怕失去錢 時間: 2025-3-27 00:58 作者: 變形詞 時間: 2025-3-27 03:22
Incidence, Prevalence, and Classificationinflammation, endocardium, and blood vessels. The study compares the experimental results of multiple methods evaluated using real data from medical experts. This study lays the groundwork for future research and demonstrates the potential of deep learning applied to the prediction of transplant rejection.作者: 粗俗人 時間: 2025-3-27 07:27
https://doi.org/10.1007/978-3-642-37747-1ural network is trained, inference can be performed from the outer shape measured with cheap devices such as laser profilers. We demonstrate the effectiveness of our approach on fir and spruce tree species and perform ablation on the recurrence to demonstrate its importance.作者: Flat-Feet 時間: 2025-3-27 11:13 作者: 急性 時間: 2025-3-27 14:25
Slovo: Russian Sign Language Dataset data collection to video annotation, with the following demo application. Several neural networks are trained and evaluated on the Slovo to demonstrate its teaching ability. Proposed data and pre-trained models are publicly available.(.).(.).作者: 競選運動 時間: 2025-3-27 19:15
DeepLabV3+ Ensemble for?Diagnosis of?Cardiac Transplant Rejectioninflammation, endocardium, and blood vessels. The study compares the experimental results of multiple methods evaluated using real data from medical experts. This study lays the groundwork for future research and demonstrates the potential of deep learning applied to the prediction of transplant rejection.作者: 語源學(xué) 時間: 2025-3-27 23:41 作者: Incisor 時間: 2025-3-28 05:20
Tracking and?Identification of?Ice Hockey Playerst a comprehensive framework for player identification and tracking in ice hockey games, utilising deep neural networks trained on actual gameplay data. Player detection, identification, and tracking are the three main components of our architecture. The player detection component detects individuals作者: 抱狗不敢前 時間: 2025-3-28 07:38
Dedicated Encoding-Streams Based Spatio-Temporal Framework for?Dynamic Person-Independent Facial Expes. The important attention given to the FER application is translated by the various architectures and datasets proposed to develop efficient automatic FER frameworks. This paper proposes a new, yet efficient appearance-based deep framework for dynamic FER referred to as Dedicated Encoding-streams 作者: Physiatrist 時間: 2025-3-28 13:26
Hands, Objects, Action! Egocentric 2D Hand-Based Action Recognitionf Daily Living (ADLs) without any conscious effort on the part of the user. This study explores the feasibility of using 2D hand and object pose information for egocentric action recognition. While current literature focuses on 3D hand pose information, our work shows that using 2D skeleton data is 作者: macrophage 時間: 2025-3-28 14:53
WiFi CSI-Based Long-Range Through-Wall Human Activity Recognition with?the?ESP32constrained environments while preserving visual privacy. Despite the presence of numerous WiFi-enabled devices around us, few expose CSI to users, resulting in a lack of sensing hardware options. Recently, variants of the Espressif ESP32 have emerged as potential low-cost, easy-to-deploy solutions 作者: 就職 時間: 2025-3-28 20:39
PseudoDepth-SLR: Generating Depth Data for?Sign Language Recognitionth information from RGB data to boost performance and enable generalizability in scenarios where depth data is not available. For the depth generation, we rely on an approach that utilizes vision transformers as a backbone for depth prediction. We examine the effect of pseudo depth data on the perfo作者: 廚房里面 時間: 2025-3-29 00:04
Slovo: Russian Sign Language Datasetring and hearing societies. In addition, the sign language in each country differs significantly, which obliges the creation of new data for each of them. This paper presents the Russian Sign Language (RSL) video dataset Slovo, produced using crowdsourcing platforms. The dataset contains 20,000 Full作者: gusher 時間: 2025-3-29 05:49
Non-contact Heart Rate Monitoring: A Comparative Study of Computer Vision and Radar Approachesg HR measurement into Driver Monitoring Systems (DMS), providing physiological measurements to help address long-existing road safety issues by minimising human error. In real-world driving scenarios, the HR must be measured using non-contact approaches that avoid distracting or restricting the driv作者: 紡織品 時間: 2025-3-29 10:15
CFAB: An Online Data Augmentation to?Alleviate the?Spuriousness of?Classification on?Medical Ultrasoriousness in CNNs usually occurs in building connections between the background of images and labels. Such spurious correlation limits the generalizability of CNNs in classification tasks. Changing backgrounds and foregrounds of original samples can reduce the spuriousness in natural image classific作者: 犬儒主義者 時間: 2025-3-29 12:56 作者: 雜色 時間: 2025-3-29 18:02
DeepLabV3+ Ensemble for?Diagnosis of?Cardiac Transplant Rejection regular invasive and time-consuming biopsies followed by histopathological analysis. Deep learning has the potential to significantly enhance speed and objectivity and introduce new information from the obtained sample to increase the chances of predicting rejection. Our study presents several deep作者: Interferons 時間: 2025-3-29 23:00 作者: RAFF 時間: 2025-3-30 00:40
SIFT-Guided Saliency-Based Augmentation for?Weed Detection in?Grassland Images: Fusing Classic Compuis paper investigates how the density of structural features can be used to assist the training process of a Deep-Learning-based object detector. SIFT keypoint density is used to create overlay masks to augment images, emphasizing low-density areas—typically corresponding to weed plants. Our method 作者: 不能妥協(xié) 時間: 2025-3-30 06:34
Key Point-Based Orientation Estimation of?Strawberries for?Robotic Fruit Pickingobotic harvester requires the precise location and orientation of the fruit to effectively plan the trajectory of the end effector. The current methods for estimating fruit orientation employ either complete 3D information registered from multiple views or rely on fully-supervised learning technique作者: extinct 時間: 2025-3-30 08:53
Residual Cascade CNN for?Detection of?Spatially Relevant Objects in?Agriculture: The Grape-Stem Parace costs. However, working on the agriculture domain introduces important challenges, such as adverse conditions, small structures and lack of large datasets, hindering its wide adoption on multiple cases. This work presents an approach to improve the performance of detecting challenging small objec作者: Bph773 時間: 2025-3-30 13:32 作者: 自制 時間: 2025-3-30 16:53
Tracking and?Identification of?Ice Hockey Playerse game..Experiments conducted with data collected from actual ice hockey games demonstrate the viability of our proposed framework for tracking and identifying players in real-world settings. Our framework achieves an average precision (AP) of 67.3 and a Multiple Object Tracking Accuracy (MOTA) of 8作者: 變化 時間: 2025-3-30 21:09 作者: Osteoporosis 時間: 2025-3-31 02:37 作者: Mitigate 時間: 2025-3-31 05:05
Non-contact Heart Rate Monitoring: A Comparative Study of Computer Vision and Radar Approachesfor both CV and mm-wave radar systems and characterises their HR estimation performance, using electrocardiography (ECG) to provide ground truth measurements. The effects of distance to sensors and of illumination variations on HR estimation are also studied, showing the relative errors for both mod作者: ingenue 時間: 2025-3-31 12:11
CFAB: An Online Data Augmentation to?Alleviate the?Spuriousness of?Classification on?Medical Ultrasoramework for collaborative augmenting samples using CFAB and training CNNs. Comprehensive experiments indicate that the proposed method weakens the spuriousness, improves the generalizability of the model, and achieves state-of-the-art results in medical ultrasound dataset classification.作者: Intuitive 時間: 2025-3-31 15:34
Of Mice and?Pose: 2D Mouse Pose Estimation from?Unlabelled Data and?Synthetic Priorbtained ground truth. We also compare predictions with those from a supervised state-of-the-art method for animal pose estimation. The latter evaluation indicates promising results despite the lack of paired training data. Finally, qualitative results using a dataset of horse images show the potenti作者: 劇本 時間: 2025-3-31 19:34
Key Point-Based Orientation Estimation of?Strawberries for?Robotic Fruit Pickingworld scenarios. Our method achieves state-of-the-art performance with an average error as low as ., improving predictions by .30% compared to previous work presented in?[.]. Furthermore, our method is suited for real-time robotic applications with fast inference times of .30 ms.
