作者: 拱墻 時間: 2025-3-21 21:08
Ask, Acquire, and Attack: Data-Free UAP Generation Using Class Impressionsodel is a generic representation (in the input space) of the samples belonging to that category. Further, we present a neural network based generative model that utilizes the acquired class impressions to learn crafting UAPs. Experimental evaluation demonstrates that the learned generative model, (i作者: conception 時間: 2025-3-22 01:42
Rendering Portraitures from Monocular Camera and Beyondth the refined estimation, we conduct depth and segmentation-aware blur rendering to the input image with a Conditional Random Field and image matting. In addition, we train a spatially-variant Recursive Neural Network to learn and accelerate this rendering process. We show that the proposed algorit作者: 抒情短詩 時間: 2025-3-22 06:13 作者: 不感興趣 時間: 2025-3-22 09:33
A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data from each subspace for expressing all data points even if the data are imbalanced. Our experiments demonstrate that the proposed method outperforms state-of-the-art subspace clustering methods in two large-scale image datasets that are imbalanced. We also demonstrate the effectiveness of our method作者: Pericarditis 時間: 2025-3-22 16:14
RCAA: Relational Context-Aware Agents for Person Searchch, we conduct extensive experiments on the large-scale Person Search benchmark dataset and achieve significant improvements over the compared approaches. It is also worth noting that the proposed model even performs better than traditional methods with perfect pedestrian detectors.作者: Pericarditis 時間: 2025-3-22 19:16
Distractor-Aware Siamese Networks for Visual Object Trackingorm incremental learning, which can effectively transfer the general embedding to the current video domain. In addition, we extend the proposed approach for long-term tracking by introducing a simple yet effective local-to-global search region strategy. Extensive experiments on benchmarks show that 作者: 頭盔 時間: 2025-3-22 23:58 作者: aesthetician 時間: 2025-3-23 05:26
Learning Dynamic Memory Networks for Object Trackingine with the initial template. Unlike tracking-by-detection methods where the object’s information is maintained by the weight parameters of neural networks, which requires expensive online fine-tuning to be adaptable, our tracker runs completely feed-forward and adapts to the target’s appearance ch作者: 痛打 時間: 2025-3-23 07:21
Face Super-Resolution Guided by Facial Component Heatmapslarity), but also middle-level information (., face structure) to further explore spatial constraints of facial components from LR inputs images. Therefore, we are able to super-resolve very small unaligned face images . with a large upscaling factor of 8., while preserving face structure. Extensive作者: adjacent 時間: 2025-3-23 11:50
Reverse Attention for Salient Object Detection parts and details which results in high resolution and accuracy. Experiments on six benchmark datasets demonstrate that the proposed approach compares favorably against state-of-the-art methods, and with advantages in terms of simplicity, efficiency (.) and model size (.).作者: 最初 時間: 2025-3-23 17:27 作者: 智力高 時間: 2025-3-23 18:03
Alexander Antonov,Thomas Hoffmann problem of uncalibrated photometric stereo. Extensive experiments on public real datasets show that PS-FCN outperforms existing approaches in calibrated photometric stereo, and promising results are achieved in uncalibrated scenario, clearly demonstrating its effectiveness.作者: TEN 時間: 2025-3-24 00:47
New Perspectives in German Political Studiesodel is a generic representation (in the input space) of the samples belonging to that category. Further, we present a neural network based generative model that utilizes the acquired class impressions to learn crafting UAPs. Experimental evaluation demonstrates that the learned generative model, (i作者: ALE 時間: 2025-3-24 04:57 作者: 壟斷 時間: 2025-3-24 08:47
https://doi.org/10.1007/978-3-319-93470-9that improve task performance are zoomed and exaggerated. Unlike alternative approaches such as spatial transformer networks, our proposed layer is inspired by image saliency, computed efficiently from uniformly downsampled data, and degrades gracefully to a uniform sampling strategy under uncertain作者: Charade 時間: 2025-3-24 13:54
https://doi.org/10.1007/978-3-319-93470-9 from each subspace for expressing all data points even if the data are imbalanced. Our experiments demonstrate that the proposed method outperforms state-of-the-art subspace clustering methods in two large-scale image datasets that are imbalanced. We also demonstrate the effectiveness of our method作者: 檔案 時間: 2025-3-24 16:58
New Perspectives in German Political Studiesch, we conduct extensive experiments on the large-scale Person Search benchmark dataset and achieve significant improvements over the compared approaches. It is also worth noting that the proposed model even performs better than traditional methods with perfect pedestrian detectors.作者: patella 時間: 2025-3-24 19:53
Palgrave Studies in European Union Politicsorm incremental learning, which can effectively transfer the general embedding to the current video domain. In addition, we extend the proposed approach for long-term tracking by introducing a simple yet effective local-to-global search region strategy. Extensive experiments on benchmarks show that 作者: HAUNT 時間: 2025-3-25 03:13 作者: 諂媚于人 時間: 2025-3-25 06:49 作者: 使害羞 時間: 2025-3-25 08:42
The EU, ASEAN and Political Norms,larity), but also middle-level information (., face structure) to further explore spatial constraints of facial components from LR inputs images. Therefore, we are able to super-resolve very small unaligned face images . with a large upscaling factor of 8., while preserving face structure. Extensive作者: entail 時間: 2025-3-25 11:43
The Irish Defence Forces in the Drone Age parts and details which results in high resolution and accuracy. Experiments on six benchmark datasets demonstrate that the proposed approach compares favorably against state-of-the-art methods, and with advantages in terms of simplicity, efficiency (.) and model size (.).作者: 罐里有戒指 時間: 2025-3-25 16:02
https://doi.org/10.1007/978-3-031-07812-5AVA and THUMOS14 datasets. We consider temporal action localization as an application of the . problem. Experiments on the THUMOS14 dataset reveal that our model is not only able to explore the video efficiently (observing on average . of the video) but it also accurately finds human activities with作者: 眼界 時間: 2025-3-25 23:13 作者: 使人入神 時間: 2025-3-26 03:34
Mark Williams,Matthew G. O’Neill vice versa, information at the current position can be distributed to assist the prediction of other ones. Our proposed approach achieves top performance on various competitive scene parsing datasets, including ADE20K, PASCAL VOC 2012 and Cityscapes, demonstrating its effectiveness and generality.作者: 抵消 時間: 2025-3-26 05:13
The Irish Defence Forces in the Drone Ageoutperforms the state-of-the-art in bag-of-words image retrieval and wide baseline stereo. The proposed training process does not require precisely geometrically aligned patches. The source codes and trained weights are available at ..作者: 單獨(dú) 時間: 2025-3-26 08:29
Face Recognition with Contrastive Convolution between the two faces to compare, i.e., those contrastive characteristics. Extensive experiments on the challenging LFW, and IJB-A show that our proposed contrastive convolution significantly improves the vanilla CNN and achieves quite promising performance in face verification task.作者: 俗艷 時間: 2025-3-26 13:09 作者: 使虛弱 時間: 2025-3-26 17:55
Repeatability Is Not Enough: Learning Affine Regions via Discriminabilityoutperforms the state-of-the-art in bag-of-words image retrieval and wide baseline stereo. The proposed training process does not require precisely geometrically aligned patches. The source codes and trained weights are available at ..作者: Measured 時間: 2025-3-26 23:17 作者: Innocence 時間: 2025-3-27 04:16 作者: 同謀 時間: 2025-3-27 09:10 作者: 權(quán)宜之計 時間: 2025-3-27 11:48
0302-9743 missions. The papers are organized in topical?sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization;?matching and recognition; video attention; and poster sessions..978-3-030-01239-7978-3-030-01240-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 注意力集中 時間: 2025-3-27 15:59 作者: 藝術(shù) 時間: 2025-3-27 19:40
The Trade and Cooperation Agreement,rly exploit the information from the previous stage, an adaptive fusion block is devised to learn a dynamic integration of the current stage’s output and the previous stage’s output. Experiments on multiple datasets demonstrate that our proposed approach can improve the translation quality compared with previous single-stage unsupervised methods.作者: 跳脫衣舞的人 時間: 2025-3-28 00:21
The EU, ASEAN and Interregionalism clip for each sentence in the query with the help of a focusing guide. These levels are complementary – the top-level matching narrows the search while the part-level localization refines the results. On both ActivityNet Captions and modified LSMDC datasets, the proposed framework achieves remarkable performance gains (Project Page: .).作者: 惰性女人 時間: 2025-3-28 05:30
GeoDesc: Learning Local Descriptors by Integrating Geometry Constraintsidelines towards practical integration of learned descriptors in Structure-from-Motion (SfM) pipelines, showing the good trade-off that GeoDesc delivers to 3D reconstruction tasks between accuracy and efficiency.作者: Myosin 時間: 2025-3-28 06:40 作者: instill 時間: 2025-3-28 13:56
Find and Focus: Retrieve and Localize Video Events with Natural Language Queries clip for each sentence in the query with the help of a focusing guide. These levels are complementary – the top-level matching narrows the search while the part-level localization refines the results. On both ActivityNet Captions and modified LSMDC datasets, the proposed framework achieves remarkable performance gains (Project Page: .).作者: 為敵 時間: 2025-3-28 18:25 作者: Hypomania 時間: 2025-3-28 20:20
Ask, Acquire, and Attack: Data-Free UAP Generation Using Class Impressionsversal Adversarial Perturbations (UAP) that can affect inference of the models over most input samples. Given a model, there exist broadly two approaches to craft UAPs: (i) data-driven: that require data, and (ii) data-free: that do not require data samples. Data-driven approaches require actual sam作者: 羽飾 時間: 2025-3-29 01:07
Rendering Portraitures from Monocular Camera and Beyondertain photography skills to generate such effects. Recently, dual-lens on cellphones is used to estimate scene depth and simulate DoF effects for portrait shots. However, this technique cannot be applied to photos already taken and does not work well for whole-body scenes where the subject is at a 作者: 笨拙處理 時間: 2025-3-29 06:25 作者: GLUE 時間: 2025-3-29 08:08
A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Datahave become a popular tool for unsupervised learning due to their empirical success and theoretical guarantees. However, their performance can be affected by imbalanced data distributions and large-scale datasets. This paper presents an exemplar-based subspace clustering method to tackle the problem作者: 內(nèi)向者 時間: 2025-3-29 14:38
RCAA: Relational Context-Aware Agents for Person Searchious approaches to this problem have relied on a pedestrian proposal net, which may generate redundant proposals and increase the computational burden. In this paper, we address this problem by training relational context-aware agents which learn the actions to localize the target person from the ga作者: 演繹 時間: 2025-3-29 16:06 作者: 領(lǐng)導(dǎo)權(quán) 時間: 2025-3-29 22:02
Face Recognition with Contrastive Convolutionure extraction. For both faces the same kernels are applied and hence the representation of a face stays fixed regardless of whom it is compared with. As for us humans, however, one generally focuses on varied characteristics of a face when comparing it with distinct persons as shown in Fig.?.. Insp作者: tenosynovitis 時間: 2025-3-30 03:58
Adding Attentiveness to the Neurons in Recurrent Neural NetworksRNN neurons mainly focus on controlling the contributions of current and historical information but do not explore the different importance levels of different elements in an input vector of a time slot. We propose adding a simple yet effective Element-wise-Attention Gate (EleAttG) to an RNN block (作者: eardrum 時間: 2025-3-30 05:59 作者: scrutiny 時間: 2025-3-30 10:39 作者: 委托 時間: 2025-3-30 13:24 作者: HERE 時間: 2025-3-30 19:10 作者: 培養(yǎng) 時間: 2025-3-30 21:22 作者: LAP 時間: 2025-3-31 02:22 作者: poliosis 時間: 2025-3-31 05:05
Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localizationachieve, it is crucial to design automated approaches that only explore parts of the video which are the most relevant to the actions being searched for. To address this need, we propose the new problem of . in video, which we define as finding a specific action in a video while observing a small po作者: 宇宙你 時間: 2025-3-31 13:06
PSANet: Point-wise Spatial Attention Network for Scene Parsingl filters, which limits the overall understanding of complex scenes. In this paper, we propose the . (PSANet) to relax the local neighborhood constraint. Each position on the feature map is connected to all the other ones through a self-adaptively learned attention mask. Moreover, information propag作者: exceed 時間: 2025-3-31 16:33 作者: 開花期女 時間: 2025-3-31 18:00
