標(biāo)題: Titlebook: Advances in Visual Computing; 17th International S George Bebis,Bo Li,Remco Chang Conference proceedings 2022 The Editor(s) (if applicable) [打印本頁] 作者: Bunion 時間: 2025-3-21 17:43
書目名稱Advances in Visual Computing影響因子(影響力)
書目名稱Advances in Visual Computing影響因子(影響力)學(xué)科排名
書目名稱Advances in Visual Computing網(wǎng)絡(luò)公開度
書目名稱Advances in Visual Computing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Visual Computing被引頻次
書目名稱Advances in Visual Computing被引頻次學(xué)科排名
書目名稱Advances in Visual Computing年度引用
書目名稱Advances in Visual Computing年度引用學(xué)科排名
書目名稱Advances in Visual Computing讀者反饋
書目名稱Advances in Visual Computing讀者反饋學(xué)科排名
作者: Obstruction 時間: 2025-3-21 21:17 作者: 桉樹 時間: 2025-3-22 03:59
Deep Learning Based Shrimp Classificationtheir level of pigmentation accepted by shrimp commerce. The main goal of this actual study is to support the shrimp industry in terms of price and process. An efficient CNN architecture is proposed to perform image classification through a program that could be set other in mobile devices or in fix作者: 調(diào)情 時間: 2025-3-22 07:57 作者: CLAM 時間: 2025-3-22 08:55 作者: anarchist 時間: 2025-3-22 14:07 作者: Incumbent 時間: 2025-3-22 18:13 作者: nuclear-tests 時間: 2025-3-23 01:09 作者: 存心 時間: 2025-3-23 03:17 作者: BLOT 時間: 2025-3-23 07:26 作者: 馬賽克 時間: 2025-3-23 12:27 作者: 交響樂 時間: 2025-3-23 17:00 作者: 具體 時間: 2025-3-23 21:35 作者: defuse 時間: 2025-3-24 00:09 作者: 宏偉 時間: 2025-3-24 03:28 作者: CRASS 時間: 2025-3-24 10:07
Multi-class Detection and Tracking of Intracorporeal Suturing Instruments in an FLS Laparoscopic Boxn requires a significant amount of the supervisory surgeons’ time, and it can be a very subjective decision. This study uses an object detection algorithm, Scaled-YOLOv4, in conjunction with a centroid tracking algorithm to evaluate the surgeon’s skills during advanced intracorporeal suturing. We pr作者: 流出 時間: 2025-3-24 14:16
Alexey V. Yablokov,Sergey A. Ostroumovep Neural Network (BMDNN) combines salient features extracted from a deep neural network with highly-discriminating handcrafted features. The proposed architecture outperforms state-of-the-art methods in all emotional classes on the Edinburgh Locomotion MoCap Dataset.作者: Orgasm 時間: 2025-3-24 15:55
Gait Emotion Recognition Using a?Bi-modal Deep Neural Networkep Neural Network (BMDNN) combines salient features extracted from a deep neural network with highly-discriminating handcrafted features. The proposed architecture outperforms state-of-the-art methods in all emotional classes on the Edinburgh Locomotion MoCap Dataset.作者: 進(jìn)步 時間: 2025-3-24 21:12 作者: 鎮(zhèn)壓 時間: 2025-3-25 03:10 作者: 敲詐 時間: 2025-3-25 06:43
https://doi.org/10.1007/978-3-030-19254-9mension to mitigate the final projections’ visual clutter. We built a web-based prototype, called ., to integrate these components into a unified data exploration process. The prototype is validated on several high-dimensional temporal datasets in various application domains to demonstrate our approach’s benefits.作者: 神刊 時間: 2025-3-25 10:30
Conservation of Threatened Plantscludes element-wise addition and multiplication, feature concatenation, multi-modal factorized bilinear pooling, and bilaterally-guided fusion. We report quantitative results of the performance as well as an analysis of computational costs of these operators on different architectures.作者: aristocracy 時間: 2025-3-25 14:37 作者: 有害 時間: 2025-3-25 18:26
Conference proceedings 2022hich was held in October 2022.?.The 61 papers presented in these volumes were carefully reviewed and selected from 110 submissions. They are organized in the following topical sections:?.Part I: ?deep learning I; visualization; object detection and recognition; deep learning II; video analysis and e作者: ARENA 時間: 2025-3-25 23:46
Alexey V. Yablokov,Sergey A. Ostroumovve experiments, we show that the approach is effective at unmasking face images. In addition, we also show that the identity information is preserved sufficiently well to improve face verification performance based on several face recognition benchmark datasets.作者: pessimism 時間: 2025-3-26 01:10
Alexey V. Yablokov,Sergey A. Ostroumovnts, a database acquired with mobile devices of various brands and models has been used to capture images of shrimp. The results obtained with the images in the RGB and HSV color space allow for testing the effectiveness of the proposed model.作者: 發(fā)誓放棄 時間: 2025-3-26 06:33 作者: CLOT 時間: 2025-3-26 11:49 作者: 迫擊炮 時間: 2025-3-26 15:40 作者: 抒情短詩 時間: 2025-3-26 17:43
Conservation of Threatened Plantss of the proposed method over na?vely thresholding calibrated/uncalibrated softmax scores with 2-D points, imagery, and text classification datasets using state-of-the-art pretrained models. Source code is available at ..作者: 不能約 時間: 2025-3-26 22:51
Learning Representations for?Masked Facial Recoveryve experiments, we show that the approach is effective at unmasking face images. In addition, we also show that the identity information is preserved sufficiently well to improve face verification performance based on several face recognition benchmark datasets.作者: PANEL 時間: 2025-3-27 04:15 作者: 一致性 時間: 2025-3-27 05:31
Deep Learning Based Super-Resolution for?Medical Volume Visualization with?Direct Volume Renderingarn efficient upscaling of a low resolution rendering to a higher resolution space. Furthermore, to improve temporal stability, we also implement the temporal reprojection technique for accumulating history samples in volumetric rendering. Our method allows high-quality reconstruction of images from highly aliased input as shown in Fig.?..作者: Calculus 時間: 2025-3-27 12:41
A Quantitative Analysis of?Labeling Issues in?the?CelebA Dataset CelebA attributes not because they are difficult to predict, but because they are poorly labeled. This indicates that the CelebA dataset is flawed as a facial analysis tool and may not be suitable as a generic evaluation benchmark for imbalanced classification.作者: Spinal-Tap 時間: 2025-3-27 14:15
Open-Set Plankton Recognition Using Similarity Learninglankton species. The model is shown to generalize well for new plankton classes added in the gallery set without retraining the model. This provides a good basis for the wider utilization of plankton recognition methods in aquatic research.作者: 平淡而無味 時間: 2025-3-27 21:37 作者: 痛恨 時間: 2025-3-27 21:56
0302-9743 VC 2022, which was held in October 2022.?.The 61 papers presented in these volumes were carefully reviewed and selected from 110 submissions. They are organized in the following topical sections:?.Part I: ?deep learning I; visualization; object detection and recognition; deep learning II; video anal作者: placebo-effect 時間: 2025-3-28 02:26 作者: Androgen 時間: 2025-3-28 08:53 作者: 縮短 時間: 2025-3-28 14:05
Multi-class Detection and Tracking of Intracorporeal Suturing Instruments in an FLS Laparoscopic Box accuracy of the detection is crucial to our proposed tracking system, we evaluated the detection performance using the mean average precision and inference time metrics. An average precision of 85.50% was achieved for the detection of the needle, and 100% was achieved for the work field area.作者: hematuria 時間: 2025-3-28 17:56 作者: 鋼筆尖 時間: 2025-3-28 22:25
Alexey V. Yablokov,Sergey A. Ostroumovges to the pervasive use of face recognition technology that now is suffering a decline in performance. One way to address the problem is to revert to face recovery methods as a preprocessing step. Current approaches to face reconstruction and manipulation leverage the ability to model the face mani作者: 兩棲動物 時間: 2025-3-29 01:04
Alexey V. Yablokov,Sergey A. Ostroumovtheir level of pigmentation accepted by shrimp commerce. The main goal of this actual study is to support the shrimp industry in terms of price and process. An efficient CNN architecture is proposed to perform image classification through a program that could be set other in mobile devices or in fix作者: Externalize 時間: 2025-3-29 04:04
Alexey V. Yablokov,Sergey A. Ostroumovarning-based methodologies have been proven highly effective for computer vision tasks. This paper provides a powerful deep-learning architecture for emotion recognition from gait by introducing the fusion of domain-specific discriminative features with latent deep features. The proposed Bi-Modal De作者: 某人 時間: 2025-3-29 08:15 作者: endoscopy 時間: 2025-3-29 14:27 作者: Fecundity 時間: 2025-3-29 19:18
https://doi.org/10.1007/978-3-030-19254-9te the scalability and overplotting issues of dimensional projection techniques for high-dimensional temporal datasets. Our approach first uses clustering algorithms to select the representative data points at each time step for each data profile. We then apply dimension reduction techniques to visu作者: Graduated 時間: 2025-3-29 20:26 作者: 使害羞 時間: 2025-3-30 02:19 作者: conjunctiva 時間: 2025-3-30 07:25
Conservation of Threatened Plantsze prediction accuracy on CelebA, the largest and most widely used facial attribute dataset, few works have analyzed the accuracy of the dataset’s attribute labels. In this paper, we seek to do just that. Despite the popularity of CelebA, we find through quantitative analysis that there are widespre作者: 證明無罪 時間: 2025-3-30 11:17
Conservation of Threatened Plants need for automated systems that can detect and classify invasive and non-invasive aquatic species using underwater videos without human supervision. In this paper, we intend to classify the larvae of invasive species like Zebra and Quagga mussels. These organisms are native to eastern Europe, but a作者: 愛哭 時間: 2025-3-30 14:47 作者: 衍生 時間: 2025-3-30 18:36
The Records System of Uppsala Botanic Garden existing recognition methods focus on individual datasets with a known set of classes limiting their wider applicability. Automated plankton imaging instruments capture images of unknown particles and the class (plankton species) composition varies between geographical regions and ecosystems. This 作者: 使熄滅 時間: 2025-3-30 21:41 作者: 蚊帳 時間: 2025-3-31 00:51
Conservation of Threatened Plantsier and dataset. Such existing formulations employ a learned rejection (remove)/selection (keep) function and require either a known cost for rejecting examples or strong constraints on the accuracy or coverage of the . examples. We consider an alternative formulation by instead analyzing the comple作者: depreciate 時間: 2025-3-31 06:10 作者: single 時間: 2025-3-31 12:30
Advances in Visual Computing978-3-031-20713-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Enteropathic 時間: 2025-3-31 14:25 作者: 針葉 時間: 2025-3-31 21:09
