作者: Ostrich 時間: 2025-3-21 22:01 作者: 平息 時間: 2025-3-22 03:10 作者: arbiter 時間: 2025-3-22 04:52
Multi-scale Wavelet Transformer for?Face Forgery Detectionrmance under the cross-dataset scenario. However, these methods only leverage one level frequency information which limits their expressive ability. To overcome these limitations, we propose a multi-scale wavelet transformer framework for face forgery detection. Specifically, to take full advantage 作者: Asymptomatic 時間: 2025-3-22 11:50 作者: 擴張 時間: 2025-3-22 13:44 作者: 擴張 時間: 2025-3-22 20:16 作者: packet 時間: 2025-3-22 23:29 作者: Pcos971 時間: 2025-3-23 01:25 作者: Corroborate 時間: 2025-3-23 08:01
Enhancing Fairness of?Visual Attribute Predictorses of sensitive attributes. We address this problem by introducing fairness-aware regularization losses based on batch estimates of Demographic Parity, Equalized Odds, and a novel Intersection-over-Union measure. The experiments performed on facial and medical images from CelebA, UTKFace, and the SI作者: Irremediable 時間: 2025-3-23 11:22 作者: Gerontology 時間: 2025-3-23 15:09
Slice-Mask Based 3D Cardiac Shape Reconstruction from?CT Volumein relevant data of the healthy population. Our method is evaluated on both synthetic data and real cardiac scans. Experiments demonstrate that our method can achieve advanced results in shape reconstruction and segmentation tasks. Code is publicly available at ..作者: FOIL 時間: 2025-3-23 21:50 作者: INERT 時間: 2025-3-24 01:13 作者: 基因組 時間: 2025-3-24 05:08 作者: Ccu106 時間: 2025-3-24 08:55 作者: extrovert 時間: 2025-3-24 14:30
0302-9743 China, December 2022...The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics:..Part I: 3D computer vision; optimization methods;.Part II: applic作者: 袋鼠 時間: 2025-3-24 16:22
https://doi.org/10.1007/978-3-031-26351-4artificial intelligence; computer networks; computer science; computer systems; computer vision; educatio作者: crucial 時間: 2025-3-24 19:58
978-3-031-26350-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Anterior 時間: 2025-3-25 00:44
Eugenia Siapera,Mariangela Veikoudiagnosis. However, it does not take full advantage of multi-level knowledge for learning deep neural networks (DNNs), and thus is difficult to learn transferable feature representations. This work proposes a hierarchical contrastive learning (HiCo) method to improve the transferability for the US v作者: 環(huán)形 時間: 2025-3-25 05:11
Eugenia Siapera,Mariangela Veikourojection .ttention UNet, named ., for 3D medical image segmentation, especially for small targets. Considering the large proportion of the background in the 3D feature space, we introduce a projection strategy to project the 3D features into three orthogonal 2D planes to capture the contextual atte作者: 謙虛的人 時間: 2025-3-25 11:17
Eugenia Siapera,Mariangela Veikouned promising results in this domain with their effectiveness in learning feature representation. Both local and global features are crucial for medical image classification tasks, particularly for 3D medical image data, however, the receptive field of the convolution kernel limits the global featur作者: 上漲 時間: 2025-3-25 14:39
Eugenia Siapera,Mariangela Veikourmance under the cross-dataset scenario. However, these methods only leverage one level frequency information which limits their expressive ability. To overcome these limitations, we propose a multi-scale wavelet transformer framework for face forgery detection. Specifically, to take full advantage 作者: cardiovascular 時間: 2025-3-25 19:02
Mobile Learning and Higher Educationic models on scarce data via widely accepted deep-learning methods. To fully use the characteristics of medical volume-based images, we present a slice-mask representation to better regress the parameters of the 3D model. A data synthesis strategy is proposed to alleviate the lack of training data b作者: 的染料 時間: 2025-3-25 20:42
Claudia de Witt,Christina Gloerfeldections on different angles into a 3D CT image. For minimizing the X-ray induced ionizing radiation, sparse-view CBCT takes fewer projections by a wider-angle interval, but suffers from an inferior CT reconstruction quality. To solve this, the recent solutions mainly resort to synthesizing missing p作者: 先鋒派 時間: 2025-3-26 02:51 作者: 搖擺 時間: 2025-3-26 05:51 作者: 進步 時間: 2025-3-26 12:27 作者: fledged 時間: 2025-3-26 14:53
Digital?Twin Architecture – An Introductiones of sensitive attributes. We address this problem by introducing fairness-aware regularization losses based on batch estimates of Demographic Parity, Equalized Odds, and a novel Intersection-over-Union measure. The experiments performed on facial and medical images from CelebA, UTKFace, and the SI作者: Eviction 時間: 2025-3-26 20:45
Computer Vision – ACCV 2022978-3-031-26351-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 星星 時間: 2025-3-26 21:40 作者: 秘方藥 時間: 2025-3-27 02:42
HiCo: Hierarchical Contrastive Learning for?Ultrasound Video Model Pretraininglarities of images between different classes. Experiments with HiCo on five datasets demonstrate its favorable results over state-of-the-art approaches. The source code of this work is publicly available at ..作者: indemnify 時間: 2025-3-27 09:06 作者: 忍受 時間: 2025-3-27 11:28
Multi-View Coupled Self-Attention Network for?Pulmonary Nodules Classificationon module is proposed to model spatial and dimensional correlations sequentially for learning global spatial contexts and further improving the identification accuracy. Compared with vanilla self-attention, which has three-fold advances: 1) uses less memory consumption and computational complexity t作者: expository 時間: 2025-3-27 15:53
Multi-scale Wavelet Transformer for?Face Forgery Detectionial features. These two attention modules are calculated through a unified transformer block for efficiency. A wide variety of experiments demonstrate that the proposed method is efficient and effective for both within and cross datasets.作者: 表示向前 時間: 2025-3-27 19:06
Improving the?Quality of?Sparse-view Cone-Beam Computed Tomography via?Reconstruction-Friendly Interp a Reconstruction-Friendly Interpolation Network (RFI-Net), which first utilizes a 3D-2D attention network to learn inter-projection relations for synthesizing missing projections, and then introduces a novel Ramp-Filter loss to constrain a frequency consistency between the synthesized and real pro作者: Colonoscopy 時間: 2025-3-28 01:30 作者: moratorium 時間: 2025-3-28 02:58 作者: insomnia 時間: 2025-3-28 07:12 作者: meretricious 時間: 2025-3-28 13:32
0302-9743 art VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods. .978-3-031-26350-7978-3-031-26351-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: GNAT 時間: 2025-3-28 18:09
Eugenia Siapera,Mariangela Veikoularities of images between different classes. Experiments with HiCo on five datasets demonstrate its favorable results over state-of-the-art approaches. The source code of this work is publicly available at ..作者: 胰島素 時間: 2025-3-28 19:17
Eugenia Siapera,Mariangela Veikouion features in the 2D projection process, thereby obtaining more precise multi-scale information, which is vital for small lesion segmentation. Quantitative and qualitative experimental results on two public datasets (BTCV and MSD) demonstrate that our proposed APAUNet outperforms the other methods作者: harrow 時間: 2025-3-28 23:20 作者: COUCH 時間: 2025-3-29 03:36 作者: myopia 時間: 2025-3-29 10:51 作者: DECRY 時間: 2025-3-29 14:47 作者: 琺瑯 時間: 2025-3-29 15:41
The Digital Turn in Higher Educationancer show that the proposed PathTR achieves the Free-response Receiver Operating Characteristic Curves (FROC) score of 87.68%, which outperforms the baseline and NCRF method with +8.99% and +7.08%, respectively. Our method also achieves a significant 94.25% sensitivity at 8 false positives per imag作者: BIPED 時間: 2025-3-29 20:06
The Digital Turn in Higher Educationthods in robust multimodal segmentation, achieving an average Dice of 84.15., 75.59., and 54.90. for the three types of brain tumor regions, respectively, and 48.29. for stroke lesions. Our method can improve the clinical workflow that requires multimodal images.作者: 不能強迫我 時間: 2025-3-30 02:20 作者: Suggestions 時間: 2025-3-30 05:00
TriMix: A General Framework for?Medical Image Segmentation from?Limited Supervision作者: Harpoon 時間: 2025-3-30 10:47 作者: 無聊的人 時間: 2025-3-30 14:59 作者: Prosaic 時間: 2025-3-30 18:38 作者: 帶傷害 時間: 2025-3-30 22:40 作者: savage 時間: 2025-3-31 04:25
PEDTrans: A Fine-Grained Visual Classification Model for?Self-attention Patch Enhancement and?Dropou作者: Nmda-Receptor 時間: 2025-3-31 05:48
George Barberio Coura-Filho,Mayara Torres Silva de Oliveira,Ana Luiza Morais de Camposmentary particle physics seems to be appropriate. The results of the electron-positron collider LEPat CERN have been fully analyzed and also the data of the other facilities in operation (e.g. TEVATRON and "Beauty-factories") have achieved a certain maturity. It will take several years before new da作者: 自然環(huán)境 時間: 2025-3-31 11:12 作者: CLOUT 時間: 2025-3-31 14:15 作者: Canvas 時間: 2025-3-31 21:20
Prologues,nt a break with the prewar period. A line of tradition reached back to World War I and included the Roaring Twenties, the Great Depression, and Nazi Germany’s rearmament economy. In the face of recurring chaotic economic conditions, a sustained discussion about correct moral behavior in the marketpl作者: esthetician 時間: 2025-3-31 23:42 作者: Yourself 時間: 2025-4-1 04:06
