作者: 實(shí)施生效 時(shí)間: 2025-3-21 20:29 作者: enchant 時(shí)間: 2025-3-22 02:38 作者: Recess 時(shí)間: 2025-3-22 06:21 作者: 喃喃訴苦 時(shí)間: 2025-3-22 09:35 作者: Ascendancy 時(shí)間: 2025-3-22 16:19 作者: Ascendancy 時(shí)間: 2025-3-22 20:54
FSNet: An Identity-Aware Generative Model for Image-Based Face Swappingmorphable models (3DMMs), and facial textures are replaced between the estimated three-dimensional (3D) geometries in two images of different individuals. However, the estimation of 3D geometries along with different lighting conditions using 3DMMs is still a difficult task. We herein represent the 作者: outskirts 時(shí)間: 2025-3-22 23:26 作者: Jingoism 時(shí)間: 2025-3-23 03:45
ScoringNet: Learning Key Fragment for Action Quality Assessment with Ranking Loss in Skilled Sportsting effective features and predicting reasonable scores for a long skilled sport video still beset researchers. In this paper, we introduce the ScoringNet, a novel network consisting of key fragment segmentation (KFS) and score prediction (SP), to address these two problems. To get the effective fe作者: exercise 時(shí)間: 2025-3-23 08:19
Style Transfer with Adversarial Learning for Cross-Dataset Person Re-identificationingle dataset but fail to generalize well on another datasets. The emerging problem mainly comes from style difference between two datasets. To address this problem, we propose a novel style transfer framework based on Generative Adversarial Networks (GAN) to generate target-style images. Specifical作者: 不可救藥 時(shí)間: 2025-3-23 12:30 作者: Phagocytes 時(shí)間: 2025-3-23 17:14 作者: Infraction 時(shí)間: 2025-3-23 20:45 作者: SLING 時(shí)間: 2025-3-23 23:42
A Coded Aperture for Watermark Extraction from Defocused Imagesrtphones can be used to scan codes; thus concerns about fraud and authenticity are important. Embedding watermarks in 2D codes, which allows simultaneous recognition and tamper detection by simply analyzing the captured pattern without requiring an additional device is considered a promising solutio作者: sphincter 時(shí)間: 2025-3-24 02:59 作者: hereditary 時(shí)間: 2025-3-24 08:10 作者: Glower 時(shí)間: 2025-3-24 12:51 作者: 無聊點(diǎn)好 時(shí)間: 2025-3-24 15:09
0302-9743 , Australia, in December 2018. The total of 274 contributions was carefully reviewed and selected from 979 submissions during two rounds of reviewing and improvement. The papers focus on motion and tracking, segmentation and grouping, image-based modeling, dep learning, object recognition object rec作者: 極肥胖 時(shí)間: 2025-3-24 19:52 作者: 窩轉(zhuǎn)脊椎動(dòng)物 時(shí)間: 2025-3-25 00:23 作者: phytochemicals 時(shí)間: 2025-3-25 05:38
Peter Bogach Greenspan DO, FACOG, FACS we establish a cost function based on Sampson error for non-linear optimization. Experimental results on both synthetic data and real light field have verified the effectiveness and robustness of the proposed algorithm.作者: 殘暴 時(shí)間: 2025-3-25 08:37 作者: dainty 時(shí)間: 2025-3-25 11:57 作者: poliosis 時(shí)間: 2025-3-25 18:45 作者: 相符 時(shí)間: 2025-3-25 21:58
CT Study of Lesions Near the Skull Basees the missing parts based on the information present in the frame and a learned model of a person. The aligned and reconstructed views are then combined into a joint representation and used for matching images. We evaluate our approach and compare to other methods on three different datasets, demonstrating significant improvements.作者: 大約冬季 時(shí)間: 2025-3-26 00:41
0302-9743 ds and learning, performance evaluation, medical image analysis, document analysis, optimization methods, RGBD and depth camera processing, robotic vision, applications of computer vision..978-3-030-20875-2978-3-030-20876-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 公社 時(shí)間: 2025-3-26 05:16
L. E. Claveria,G. H. Du Boulay,B. E. Kendall reasonable in terms of both the score value and the ranking aspects. Through the deep learning, we narrow the gap between the predictions and ground-truth scores as well as making the predictions satisfy the ranking constraint. Widely experiments convincingly show that our method achieves the state-of-the-art results on three datasets.作者: 凹槽 時(shí)間: 2025-3-26 10:28
https://doi.org/10.1007/978-94-007-5380-8 the style-transferred images are all used to enhance the generalization ability of the ReID model. Experimental results suggest that the proposed strategy is very effective on the Market-1501 and DukeMTMC-reID.作者: 裂縫 時(shí)間: 2025-3-26 14:21
https://doi.org/10.1007/978-1-349-18224-4 different hybrid loss enforcing them to be consensus and trained alternatively to reach convergence. The comprehensive experimental analyses show that our method achieves state-of-the-art results among unsupervised learning frameworks, and is even comparable to several supervised methods.作者: 悶熱 時(shí)間: 2025-3-26 20:09 作者: acquisition 時(shí)間: 2025-3-27 00:14 作者: single 時(shí)間: 2025-3-27 02:00
Style Transfer with Adversarial Learning for Cross-Dataset Person Re-identification the style-transferred images are all used to enhance the generalization ability of the ReID model. Experimental results suggest that the proposed strategy is very effective on the Market-1501 and DukeMTMC-reID.作者: aggravate 時(shí)間: 2025-3-27 07:02
Occlusion Aware Stereo Matching via Cooperative Unsupervised Learning different hybrid loss enforcing them to be consensus and trained alternatively to reach convergence. The comprehensive experimental analyses show that our method achieves state-of-the-art results among unsupervised learning frameworks, and is even comparable to several supervised methods.作者: irritation 時(shí)間: 2025-3-27 12:40 作者: vitreous-humor 時(shí)間: 2025-3-27 14:51
Conference proceedings 2019a, in December 2018. The total of 274 contributions was carefully reviewed and selected from 979 submissions during two rounds of reviewing and improvement. The papers focus on motion and tracking, segmentation and grouping, image-based modeling, dep learning, object recognition object recognition, 作者: 有毒 時(shí)間: 2025-3-27 19:00
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234121.jpg作者: Genistein 時(shí)間: 2025-3-28 01:07
Computer Vision – ACCV 2018978-3-030-20876-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Osteons 時(shí)間: 2025-3-28 04:44 作者: insolence 時(shí)間: 2025-3-28 06:28
978-3-030-20875-2Springer Nature Switzerland AG 2019作者: output 時(shí)間: 2025-3-28 12:26
Peter Bogach Greenspan DO, FACOG, FACSht field camera using a concentric conics pattern. In this paper, we explore the property and reconstruction of common self-polar triangle with respect to concentric circle and ellipse. A light field projection model is formulated to compute out an effective linear initial solution for both intrinsi作者: 憲法沒有 時(shí)間: 2025-3-28 15:29
Peter Bogach Greenspan DO, FACOG, FACSLarge FoV cameras are beneficial for large-scale outdoor SLAM applications, because they increase visual overlap between consecutive frames and capture more pixels belonging to the static parts of the environment. However, current feature-based SLAM systems such as PTAM and ORB-SLAM limit their came作者: Triglyceride 時(shí)間: 2025-3-28 22:13 作者: 牌帶來 時(shí)間: 2025-3-29 00:01 作者: Deceit 時(shí)間: 2025-3-29 04:00 作者: Anemia 時(shí)間: 2025-3-29 09:27
CT Study of Lesions Near the Skull Basetical CCTV surveillance scenario, where full person views are often unavailable. Missing body parts make the comparison very challenging due to significant misalignment and varying scale of the views. We propose Partial Matching Net (PMN) that detects body joints, aligns partial views and hallucinat作者: IVORY 時(shí)間: 2025-3-29 11:50 作者: alcohol-abuse 時(shí)間: 2025-3-29 17:50
S. Wende,A. Aulich,E. Schindlerghly desired, existing methods require strict capture restriction such as modulated active light. Here, we propose the first method to infer both components from a single image without any hardware restriction. Our method is a novel generative adversarial network (GAN) based networks which imposes p作者: 產(chǎn)生 時(shí)間: 2025-3-29 21:59 作者: 冬眠 時(shí)間: 2025-3-30 00:04
https://doi.org/10.1007/978-94-007-5380-8ingle dataset but fail to generalize well on another datasets. The emerging problem mainly comes from style difference between two datasets. To address this problem, we propose a novel style transfer framework based on Generative Adversarial Networks (GAN) to generate target-style images. Specifical作者: 懶惰人民 時(shí)間: 2025-3-30 05:24
On Boundaries of the Language of Physics, encoder-decoder framework. While the commonly adopted image encoder (e.g., CNN network), might be capable of extracting image features to the desired level, interpreting these abstract image features into hundreds of tokens of code puts a particular challenge on the decoding power of the RNN-based 作者: d-limonene 時(shí)間: 2025-3-30 11:41 作者: Eeg332 時(shí)間: 2025-3-30 15:15
https://doi.org/10.1007/978-1-349-18224-4 tracking, and human pose estimation. Many of the background subtraction methods construct a background model in a pixel-wise manner using color information that is sensitive to illumination variations. In the recent past, a number of local feature descriptors have been successfully applied to overc作者: HALL 時(shí)間: 2025-3-30 20:08
https://doi.org/10.1007/978-1-349-18224-4rtphones can be used to scan codes; thus concerns about fraud and authenticity are important. Embedding watermarks in 2D codes, which allows simultaneous recognition and tamper detection by simply analyzing the captured pattern without requiring an additional device is considered a promising solutio作者: AUGUR 時(shí)間: 2025-3-30 23:23
https://doi.org/10.1007/978-1-349-18224-4ng has largely boosted the object counting accuracy on several benchmark datasets. However, does the global counts really count? Armed with this question we dive into the predicted density map whose summation over the whole regions reports the global counts for more in-depth analysis. We observe tha作者: 不感興趣 時(shí)間: 2025-3-31 04:10
https://doi.org/10.1007/978-1-349-18224-4variant constraint in their loss function to learn covariant detectors. However, just learning from covariant constraint can lead to detection of unstable features. To impart further, stability detectors are trained to extract pre-determined features obtained by hand-crafted detectors. However, in t作者: 粗魯?shù)娜?nbsp; 時(shí)間: 2025-3-31 07:31
Taste as a Social Mediation of Value,ring devices and robotics. In this work, we consider generating unseen future frames from previous observations, which is notoriously hard due to the uncertainty in frame dynamics. While recent works based on generative adversarial networks (GANs) made remarkable progress, there is still an obstacle作者: 違抗 時(shí)間: 2025-3-31 09:42
Peter Bogach Greenspan DO, FACOG, FACSalyze a novel inlier checking metric. In the optimization stage, we design and test a novel multi-pinhole reprojection error metric that outperforms other metrics by a large margin. We evaluate our system comprehensively on a public dataset as well as a self-collected dataset that contains real-worl作者: Sciatica 時(shí)間: 2025-3-31 14:29
Treating Erectile Dysfunctions,able to reconstruct 2 to 4 novel light fields between two mutually independent input light fields. We also compare our results with those yielded by a number of alternatives elsewhere in the literature, which shows our reconstructed light fields have better structure similarity and occlusion.作者: 刺耳的聲音 時(shí)間: 2025-3-31 17:36 作者: PARA 時(shí)間: 2025-3-31 23:14 作者: 和平主義 時(shí)間: 2025-4-1 03:33 作者: FUME 時(shí)間: 2025-4-1 08:49 作者: 浮雕寶石 時(shí)間: 2025-4-1 11:47 作者: metropolitan 時(shí)間: 2025-4-1 17:30
https://doi.org/10.1007/978-1-349-18224-4veloped a programmable coded aperture that includes an actual optical process that works in an optimization loop; thus, the complicated effects of the optical aberrations can be considered. Experimental results demonstrate that the proposed method can extend the depth of field for watermark extracti作者: 割讓 時(shí)間: 2025-4-1 22:21
https://doi.org/10.1007/978-1-349-18224-4y rely on the multi-column architectures of plain CNNs, we exploit a stacking formulation of plain CNNs. Benefited from the internal multi-stage learning process, the feature map could be repeatedly refined, allowing the density map to approach the ground-truth density distribution. For further refi作者: Immunoglobulin 時(shí)間: 2025-4-1 23:18 作者: 單挑 時(shí)間: 2025-4-2 05:19
Revisiting Distillation and Incremental Classifier Learning
