作者: separate 時間: 2025-3-21 22:16 作者: 精密 時間: 2025-3-22 01:44 作者: constitutional 時間: 2025-3-22 07:43
,Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and?Objects for 3D Hand Pose Egned (a) to evaluate the influence of both depth and color modalities on 3D hand pose estimation, under the presence or absence of objects; (b) to assess the generalisation abilities .. ?four main axes: shapes, articulations, viewpoints, and objects; (c) to explore the use of a synthetic hand models作者: 鈍劍 時間: 2025-3-22 12:29
Disentangling Multiple Features in Video Sequences Using Gaussian Processes in Variational Autoencothe curvature of the data manifold to improve learning. Our experiments show that the combination of the improved representations with the novel loss function enable MGP-VAE to outperform the baselines in video prediction.作者: 輕彈 時間: 2025-3-22 14:02 作者: 輕彈 時間: 2025-3-22 17:13
SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-Based Symptom Relmulus-response symptom features to effectively predict cybersickness by embedding relational characteristics with graph formulation. For validation, we utilize two public 360-degree video datasets that contain cybersickness scores and physiological signals. Experimental results show that the propose作者: CHARM 時間: 2025-3-22 23:03 作者: Mindfulness 時間: 2025-3-23 03:50
Know Your Surroundings: Exploiting Scene Information for Object Tracking,re propagated through the sequence and combined with the appearance model output to localize the target. Our network is learned to effectively utilize the scene information by directly maximizing tracking performance on video segments. The proposed approach sets a new state-of-the-art on 3 tracking 作者: Soliloquy 時間: 2025-3-23 07:10 作者: diabetes 時間: 2025-3-23 11:25 作者: affect 時間: 2025-3-23 16:46 作者: 救護車 時間: 2025-3-23 19:16 作者: Landlocked 時間: 2025-3-23 23:57 作者: Hot-Flash 時間: 2025-3-24 03:33 作者: 噱頭 時間: 2025-3-24 08:15
https://doi.org/10.1007/978-1-349-03275-4gned (a) to evaluate the influence of both depth and color modalities on 3D hand pose estimation, under the presence or absence of objects; (b) to assess the generalisation abilities .. ?four main axes: shapes, articulations, viewpoints, and objects; (c) to explore the use of a synthetic hand models作者: Immobilize 時間: 2025-3-24 14:01
Balanced Regional Progress in the Future,the curvature of the data manifold to improve learning. Our experiments show that the combination of the improved representations with the novel loss function enable MGP-VAE to outperform the baselines in video prediction.作者: Circumscribe 時間: 2025-3-24 16:57 作者: 格言 時間: 2025-3-24 19:50
Knowledge, Markets and Biotechnologymulus-response symptom features to effectively predict cybersickness by embedding relational characteristics with graph formulation. For validation, we utilize two public 360-degree video datasets that contain cybersickness scores and physiological signals. Experimental results show that the propose作者: forthy 時間: 2025-3-24 23:15 作者: 激怒某人 時間: 2025-3-25 04:21 作者: 沒有貧窮 時間: 2025-3-25 09:37
https://doi.org/10.1007/978-1-349-08624-5 as all-sample universal attack. In addition, we propose a data-free TND, which can detect a TrojanNet without accessing any data samples. We show that such a TND can be built by leveraging the internal response of hidden neurons, which exhibits the Trojan behavior even at random noise inputs. The e作者: 包裹 時間: 2025-3-25 14:17 作者: antecedence 時間: 2025-3-25 18:13
Valentina Vasile,Elena Bunduchio render whatever input word. Given a sample writer, it is also able to mimic its calligraphic features in a few-shot setup. We significantly advance over prior art and demonstrate with qualitative, quantitative and human-based evaluations the realistic aspect of our synthetically produced images.作者: 填滿 時間: 2025-3-25 22:46 作者: ASSAY 時間: 2025-3-26 03:29
Overview of the Pension Reform Debateract contrasting features, not just the most dominant ones with respect to the classification. This allows us to differentiate between several features in one image in an unsupervised manner. This enables us to assess the feasibility of transfer learning and to debug a pre-trained classifier by localising misleading or missing features.作者: surrogate 時間: 2025-3-26 07:58 作者: Daily-Value 時間: 2025-3-26 10:31 作者: Hallowed 時間: 2025-3-26 15:41 作者: Licentious 時間: 2025-3-26 18:24
Elena Banica,Artur Emilian Simione interacted features are fused to super-resolve each sub-aperture image. Experimental results demonstrate the superiority of LF-InterNet over the state-of-the-art methods, i.e., our method can achieve high PSNR and SSIM scores with low computational cost, and recover faithful details in the reconstructed images.作者: 集聚成團 時間: 2025-3-26 23:44
DeepLandscape: Adversarial Modeling of Landscape Videos,-domain latent codes and allow to manipulate real images. Quantitative comparisons and user studies suggest that our model produces more compelling animations of given photographs than previously proposed methods. The results of our approach including comparisons with prior art can be seen in supplementary materials and on the project page ..作者: 實現(xiàn) 時間: 2025-3-27 04:54 作者: 裙帶關(guān)系 時間: 2025-3-27 08:51 作者: Insatiable 時間: 2025-3-27 12:02
SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networkorrect prototype, while being repelled from all other prototypes, keeping the norm of all points the same. The resulting SEN PN outperforms the regular PN with a considerable margin, with no additional parameters as well as with negligible computational overhead.作者: aqueduct 時間: 2025-3-27 14:19
Conference proceedings 2020g; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..?..?.作者: Boycott 時間: 2025-3-27 19:19
0302-9743 processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..?..?.978-3-030-58591-4978-3-030-58592-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 思考而得 時間: 2025-3-28 01:11
Knowledge, Markets and Biotechnologymprove the overall localization precision in 3D object detection while also producing useful by-products of scene dynamics (ego-motion and per-object velocity). We achieve state-of-the-art performance on monocular 3D object detection and the Bird’s Eye View tasks within the KITTI self-driving dataset.作者: PHIL 時間: 2025-3-28 04:42
Valentina Vasile,Elena Bunduchih times. Experimental results demonstrate the effectiveness of the proposed approach and the necessity of searching in the binary space directly. Moreover, (4) we set a new state-of-the-art for binary neural networks on CIFAR10, CIFAR100 and ImageNet datasets. Code will be made available.作者: Bravura 時間: 2025-3-28 08:11
,Kinematic 3D Object Detection in?Monocular Video,mprove the overall localization precision in 3D object detection while also producing useful by-products of scene dynamics (ego-motion and per-object velocity). We achieve state-of-the-art performance on monocular 3D object detection and the Bird’s Eye View tasks within the KITTI self-driving dataset.作者: 自傳 時間: 2025-3-28 14:03
BATS: Binary ArchitecTure Search,h times. Experimental results demonstrate the effectiveness of the proposed approach and the necessity of searching in the binary space directly. Moreover, (4) we set a new state-of-the-art for binary neural networks on CIFAR10, CIFAR100 and ImageNet datasets. Code will be made available.作者: 祝賀 時間: 2025-3-28 15:07
European and Transatlantic Studiese distance to class centroids, in the embedding space. The method is tested on standard benchmarks for semi-supervised learning, where it matches state of the art performance and on the problem of face expression recognition where it increases the accuracy by a noticeable margin.作者: 放肆的你 時間: 2025-3-28 20:49 作者: arrogant 時間: 2025-3-28 23:03
Margin-Mix: Semi-Supervised Learning for Face Expression Recognition,de, for an input image, both an embedding descriptor and a prediction. The unlabeled data is combined with the labeled one in order to provide synthetic data, which describes better the input space. The network is asked to provide a large margin between clusters, while new data is self-labeled by th作者: aerobic 時間: 2025-3-29 03:23
,Principal Feature Visualisation in?Convolutional Neural Networks,k to map principal features from the final convolutional layer to the original image space as RGB channels. By working on a batch of images we can extract contrasting features, not just the most dominant ones with respect to the classification. This allows us to differentiate between several feature作者: 終點 時間: 2025-3-29 09:38
Progressive Refinement Network for Occluded Pedestrian Detection,d pedestrians, PRNet achieves sequential refinement by three phases: Finding high-confident anchors of visible parts, calibrating such anchors to a full-body template derived from occlusion statistics, and then adjusting the calibrated anchors to final full-body regions. Unlike conventional methods 作者: 格子架 時間: 2025-3-29 11:42
Monocular Real-Time Volumetric Performance Capture, for expensive multi-view systems or cumbersome pre-acquisition of a personalized template model. Our system reconstructs a fully textured 3D human from each frame by leveraging Pixel-Aligned Implicit Function (PIFu). While PIFu achieves high-resolution reconstruction in a memory-efficient manner, i作者: HARD 時間: 2025-3-29 18:41 作者: 搖擺 時間: 2025-3-29 23:35
,Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and?Objects for 3D Hand Pose Eion. We show that the accuracy of state-of-the-art methods can drop, and that they fail mostly on poses absent from the training set. Unfortunately, since the space of hand poses is highly dimensional, it is inherently not feasible to cover the whole space densely, despite recent efforts in collecti作者: 寒冷 時間: 2025-3-30 00:15 作者: 嚴厲批評 時間: 2025-3-30 07:45
SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networkrning. The embedding onto the hypersphere requires no direct normalization and is easy to optimize. Our theoretical analysis shows that the proposed dissimilarity measure, denoted the Squared root of the Euclidean distance and the Norm distance (SEN), forces embedding points to be attracted to its c作者: 改良 時間: 2025-3-30 08:36
,Kinematic 3D Object Detection in?Monocular Video,or detection, tracking, and depth perception, such features have not been thoroughly utilized in modern 3D object detectors. In this work, we propose a novel method for monocular video-based 3D object detection which leverages kinematic motion to extract scene dynamics and improve localization accur作者: 顯而易見 時間: 2025-3-30 15:48
Describing Unseen Videos via Multi-modal Cooperative Dialog Agents,AI with implicit information sources. To this end, in this paper, we introduce a new task called video description via two multi-modal cooperative dialog agents, whose ultimate goal is for one conversational agent to describe an unseen video based on the dialog and two static frames. Specifically, o作者: GEN 時間: 2025-3-30 19:20 作者: 宇宙你 時間: 2025-3-30 21:44 作者: senile-dementia 時間: 2025-3-31 01:00
Know Your Surroundings: Exploiting Scene Information for Object Tracking,one to fail in case of e.g. fast appearance changes or presence of distractor objects, where a target appearance model alone is insufficient for robust tracking. Having the knowledge about the presence and locations of other objects in the surrounding scene can be highly beneficial in such cases. Th作者: 暫時休息 時間: 2025-3-31 05:15
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases, the Trojan attack (or poisoning backdoor attack). The lack of robustness of DNNs against Trojan attacks could significantly harm real-life machine learning (ML) systems in downstream applications, therefore posing widespread concern to their trustworthiness. In this paper, we study the problem of t作者: 侵略 時間: 2025-3-31 09:42
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detectionfrom medical images. So far, inadequate research attention has been received on effectively emulating this practice in computer-aided diagnosis (CAD) methods. In this work, we exploit semantic anatomical symmetry or asymmetry analysis in a complex CAD scenario, i.e., anterior pelvic fracture detecti作者: 調(diào)整校對 時間: 2025-3-31 16:36
DeepLandscape: Adversarial Modeling of Landscape Videos, extends StyleGAN model by augmenting it with parts that allow to model dynamic changes in a scene. Once trained, our model can be used to generate realistic time-lapse landscape videos with moving objects and time-of-the-day changes. Furthermore, by fitting the learned models to a static landscape 作者: 施舍 時間: 2025-3-31 21:13
GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images,dwritten words. On the contrary, when writing by hand, a great variability is observed across different writers, and even when analyzing words scribbled by the same individual, involuntary variations are conspicuous. In this work, we take a step closer to producing realistic and varied artificially 作者: laparoscopy 時間: 2025-3-31 22:23 作者: AFFIX 時間: 2025-4-1 02:34 作者: Esalate 時間: 2025-4-1 08:30 作者: 小木槌 時間: 2025-4-1 10:13 作者: Vulnerary 時間: 2025-4-1 16:14
978-3-030-58591-4Springer Nature Switzerland AG 2020作者: 圓桶 時間: 2025-4-1 18:57
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234230.jpg
