作者: 賞錢 時間: 2025-3-21 20:56 作者: 能夠支付 時間: 2025-3-22 02:26
Semi-Siamese Training for Shallow Face Learning,fficient number of samples) for training. However, in many real-world scenarios of face recognition, the training dataset is limited in depth, . only two face images are available for each ID. . Unlike deep face data, the shallow face data lacks intra-class diversity. As such, it can lead to collaps作者: 出生 時間: 2025-3-22 05:08 作者: 斥責 時間: 2025-3-22 10:12 作者: 宏偉 時間: 2025-3-22 13:22 作者: 宏偉 時間: 2025-3-22 20:28
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation,nteractions. Recent works prove it possible to stack self-attention layers to obtain a fully attentional network by restricting the attention to a local region. In this paper, we attempt to remove this constraint by factorizing 2D self-attention into two 1D self-attentions. This reduces computation 作者: Dorsal 時間: 2025-3-23 00:29
Adaptive Computationally Efficient Network for Monocular 3D Hand Pose Estimation,nced algorithms to achieve high pose estimation accuracy. However, besides accuracy, the computation efficiency that affects the computation speed and power consumption is also crucial for real-world applications. In this paper, we investigate the problem of reducing the overall computation cost yet作者: Ganglion 時間: 2025-3-23 02:11 作者: euphoria 時間: 2025-3-23 06:51
Distribution-Balanced Loss for Multi-label Classification in Long-Tailed Datasets,. Compared to conventional single-label classification problem, multi-label recognition problems are often more challenging due to two significant issues, namely the co-occurrence of labels and the dominance of negative labels (when treated as multiple binary classification problems). The Distributi作者: 絆住 時間: 2025-3-23 12:26 作者: Coronary 時間: 2025-3-23 16:52
Learning to Scale Multilingual Representations for Vision-Language Tasks,degradation as languages are added. In this paper, we-9*6 propose a Scalable Multilingual Aligned Language Representation (SMALR) that supports many languages with few model parameters without sacrificing downstream task performance. SMALR learns a fixed size language-agnostic representation for mos作者: DOTE 時間: 2025-3-23 21:00 作者: oncologist 時間: 2025-3-24 01:03 作者: 愛好 時間: 2025-3-24 02:39 作者: Interdict 時間: 2025-3-24 09:38 作者: 一瞥 時間: 2025-3-24 13:35
Multimodal Shape Completion via Conditional Generative Adversarial Networks,g in the shape. These methods, however, only complete the partial shape with a single output, ignoring the ambiguity when reasoning the missing geometry. Hence, we pose a . shape completion problem, in which we seek to complete the partial shape with multiple outputs by learning a one-to-many mappin作者: Anticoagulants 時間: 2025-3-24 15:43 作者: 簡略 時間: 2025-3-24 19:37
Measures of the Value of Information,oral information. On the natural language side, we investigate the best practices to jointly optimize the language embedding together with the multi-modal transformer. This novel framework allows us to establish state-of-the-art results for video retrieval on three datasets. More details are available at?..作者: COST 時間: 2025-3-25 02:16
Multi-modal Transformer for Video Retrieval,oral information. On the natural language side, we investigate the best practices to jointly optimize the language embedding together with the multi-modal transformer. This novel framework allows us to establish state-of-the-art results for video retrieval on three datasets. More details are available at?..作者: demote 時間: 2025-3-25 05:55
Conference proceedings 2020n, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic..The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with top作者: 躺下殘殺 時間: 2025-3-25 09:57
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: 黑豹 時間: 2025-3-25 12:42 作者: intricacy 時間: 2025-3-25 17:53
The Return of the Reserve Army,ile method can outperform strong baselines on a wide variety of UI2I tasks. Moreover, TuiGAN is capable of achieving comparable performance with the state-of-the-art UI2I models trained with sufficient data.作者: Engulf 時間: 2025-3-25 21:05 作者: 壟斷 時間: 2025-3-26 03:18 作者: Compatriot 時間: 2025-3-26 05:48
The Economic Valuation of Green Electricityrification module). The two major novelties: chained structure and paired attentive regression, make CTracker simple, fast and effective, setting new MOTA records on MOT16 and MOT17 challenge datasets (67.6 and 66.6, respectively), without relying on any extra training data. The source code of CTracker can be found at: ..作者: fetter 時間: 2025-3-26 09:59 作者: 淺灘 時間: 2025-3-26 15:21 作者: 新字 時間: 2025-3-26 16:58
The Efficiency Effects of Taxation,ensively evaluate the approach on several datasets that contain varying forms of shape incompleteness, and compare among several baseline methods and variants of our methods qualitatively and quantitatively, demonstrating the merit of our method in completing partial shapes with both diversity and quality.作者: 背心 時間: 2025-3-27 00:49 作者: 天氣 時間: 2025-3-27 02:18
Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition,information, a multi-head mechanism is designed to aggregate different features from independent heads to jointly handle different types of relationships between points. Experimental results show that our model outperforms the existing networks and achieves new state-of-the-art performance on video violence datasets.作者: 漸強 時間: 2025-3-27 09:08
Binarized Neural Network for Single Image Super Resolution,on the BAM for lower computational complexity and parameters. Extensive experiments show the proposed model outperforms the state-of-the-art binarization methods by large margins on 4 benchmark datasets, specially by average more than 0.7 dB in terms of Peak Signal-to-Noise Ratio on Set5 dataset.作者: 不可知論 時間: 2025-3-27 09:30 作者: 合并 時間: 2025-3-27 15:50
Distribution-Balanced Loss for Multi-label Classification in Long-Tailed Datasets,ve labels. Experiments on both Pascal VOC and COCO show that the models trained with this new loss function achieve significant performance gains over existing methods. Code and models are available at: ..作者: 消極詞匯 時間: 2025-3-27 20:52 作者: Brain-Imaging 時間: 2025-3-28 00:32
Multimodal Shape Completion via Conditional Generative Adversarial Networks,ensively evaluate the approach on several datasets that contain varying forms of shape incompleteness, and compare among several baseline methods and variants of our methods qualitatively and quantitatively, demonstrating the merit of our method in completing partial shapes with both diversity and quality.作者: Intruder 時間: 2025-3-28 05:05 作者: 發(fā)展 時間: 2025-3-28 07:11 作者: 笨拙的你 時間: 2025-3-28 14:16
0302-9743 uter Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic..The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers dea作者: 知道 時間: 2025-3-28 15:36
https://doi.org/10.1007/978-3-030-58548-8computer vision; correlation analysis; data security; databases; face recognition; Human-Computer Interac作者: 幻想 時間: 2025-3-28 18:58
978-3-030-58547-1Springer Nature Switzerland AG 2020作者: 緊張過度 時間: 2025-3-29 01:30 作者: 去世 時間: 2025-3-29 04:03
The Return of the Reserve Army,thods usually require numerous unpaired images from different domains for training, there are many scenarios where training data is quite limited. In this paper, we argue that even if each domain contains a single image, UI2I can still be achieved. To this end, we propose TuiGAN, a generative model 作者: 削減 時間: 2025-3-29 08:41
The Elements of Economic Theory,fficient number of samples) for training. However, in many real-world scenarios of face recognition, the training dataset is limited in depth, . only two face images are available for each ID. . Unlike deep face data, the shallow face data lacks intra-class diversity. As such, it can lead to collaps作者: 古代 時間: 2025-3-29 15:16
https://doi.org/10.1007/978-1-349-81732-0 resource-constrained mobile devices. Similar to other deep models, state-of-the-art GANs suffer from high parameter complexities. That has recently motivated the exploration of compressing GANs (usually generators). Compared to the vast literature and prevailing success in compressing deep classifi作者: HPA533 時間: 2025-3-29 18:08
https://doi.org/10.1007/978-1-349-81732-0ints. Unlike previous work, we first formulate 3D skeleton point clouds from human skeleton sequences extracted from videos and then perform interaction learning on these 3D skeleton point clouds. A novel .keleton .oints .nteraction .earning (SPIL) module, is proposed to model the interactions betwe作者: dilute 時間: 2025-3-29 22:45
The Life and Work of Karl Polanyi, be applied in real-world applications due to the heavy computation requirement. Model quantization is an effective way to significantly reduce model size and computation time. In this work, we investigate the binary neural network-based SISR problem and propose a novel model binarization method. Sp作者: 不安 時間: 2025-3-29 23:57
The Life and Work of Karl Polanyi,nteractions. Recent works prove it possible to stack self-attention layers to obtain a fully attentional network by restricting the attention to a local region. In this paper, we attempt to remove this constraint by factorizing 2D self-attention into two 1D self-attentions. This reduces computation 作者: harangue 時間: 2025-3-30 05:23 作者: exercise 時間: 2025-3-30 10:56
The Economic Valuation of Green Electricityata association separately, or have two of the three subtasks integrated to form a partially end-to-end solution. Going beyond these sub-optimal frameworks, we propose a simple online model named Chained-Tracker (CTracker), which naturally integrates all the three subtasks into an end-to-end solutio作者: GEM 時間: 2025-3-30 13:28 作者: Increment 時間: 2025-3-30 18:45
The Economic Value of Creative Mental Labort prior work focuses on synthetic input shapes, our formulation is designed to be applicable to real-world scans with imperfect input correspondences and various types of noise. To that end, we use recent progress on dynamic thin shell simulation and divergence-free shape deformation and combine the作者: Missile 時間: 2025-3-30 21:44 作者: 花束 時間: 2025-3-31 04:28
Measures of the Value of Information,of the existing methods for this caption-to-video retrieval problem do not fully exploit cross-modal cues present in video. Furthermore, they aggregate per-frame visual features with limited or no temporal information. In this paper, we present a multi-modal transformer to jointly encode the differe作者: 高貴領導 時間: 2025-3-31 06:26 作者: obeisance 時間: 2025-3-31 13:16 作者: 轉(zhuǎn)換 時間: 2025-3-31 16:55
https://doi.org/10.1007/978-1-4615-5695-4ta are captured by arbitrarily oriented sensors such as body-/robot-mounted cameras. Existing approaches exhibit bounded performance on predicting surface normals because they were trained using gravity-aligned images. Our two main hypotheses are: (1) visual scene layout is indicative of the gravity作者: entreat 時間: 2025-3-31 21:25
