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Convolutifs
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18 documents available in our comprehensive collection of Convolutifs resources. Find practical guides, tutorials, and documentation to enhance your knowledge.
Attentive Convolution (Q18-1047.pdf)
1.03 MBEN 16 pages
Attentive convolution networks (ATTCONV) are proposed to equip CNNs with RNN-style attention mechanisms, extending the context scope of convolution operations...
RubiksNet: Learnable 3D Shift for Efficient Video Action Recognition (eccv20.pdf)
3.08 MBEN 17 pages
RubiksNet is an efficient architecture for video action recognition that replaces temporal convolutions with a learnable 3D spatiotemporal shift operation, reducing computational cost while maintaining accuracy. This approach avoids the bottlenecks of standard 3D convolution...
On the Integration of Self-Attention and Convolution. (2111.14556.pdf)
1.44 MBEN 16 pages
Researchers from Tsinghua University and Huawei Technologies propose a new model, ACmix, that integrates self-attention and convolution techniques for...
PDF document (v9i2p6.pdf)
239 KBEN 23 pages
The Australian Journal of Mathematical Analysis and Applications discusses linear Volterra integral equations with convolution kernels.
Download (Factorized_Higher-Order_CNNs_for_Spatio-Temporal_Emotion_Estimation.pdf)
802 KBEN 10 pages
Researchers propose a tensor factorization framework for efficient multidimensional convolutions of higher-order, unifying approaches to compress networks and...
Download PDF (Brain-morph.pdf)
3.14 MBEN 15 pages
Researchers studied the growth and form of cortical convolutions in the human brain, using magnetic resonance images to build a 3D-printed layered gel mimic of...
Deformable CNNs (1703.06211.pdf)
6.63 MBEN 12 pages
Deformable convolutional networks introduce two new modules, deformable convolution and deformable RoI pooling, to enhance transformation modeling capability...
Depth Estimation (2003.06637.pdf)
10.4 MBEN 5 pages
A novel learning-based framework for fast depth estimation from stereo images is proposed, utilizing dilated convolution, densely connected convolutional...
Sign Phonology Modeling (ES2023-83.pdf)
1.62 MBEN 6 pages
Researchers explored strategies for modeling sign language phonology, focusing on recognizing 16 phoneme types in ASL-LEX 2.0 using graph convolution networks.
(1805.04554v1.pdf)
12.98 MBEN 11 pages
ContextNet is a deep neural network architecture for real-time semantic segmentation, combining a deep branch at low resolution for global context information...
DeepLabv3+ (1802.02611.pdf)
4 MBEN 18 pages
The authors propose DeepLabv3+, an encoder-decoder model for semantic image segmentation, which extends DeepLabv3 by adding a simple yet effective decoder...
teaching:ws2011:vmcv2011:vmcv_ex03.pdf (vmcv_ex03.pdf)
70 KBEN 2 pages
Variational Methods for Computer Vision exercise sheet 3, dated 18 November 2011, consists of two parts: theory and practical exercises.
![Preview of [PDF]](/images/pdf/f9/60/95/f960951b-2ee0-4e1a-81f8-fb1c80535ea5.png)
[PDF] (agarSDM21.pdf)
1.77 MBEN 9 pages
AttnAR (attention-based autoregression) is a novel approach for multivariate time series forecasting, addressing limitations of previous models by capturing...
tomto souboru (263homework.pdf)
1018 KBEN 130 pages
EE263 Autumn 2008-09 homework problems cover various topics in linear systems, including power control algorithms, linear mechanical systems, time-series...
Bilateral Filter Approximation (Paris_06_Fast_Bilateral_Filter_MIT_TR.pdf)
23.78 MBEN 38 pages
The bilateral filter is a nonlinear filter that smoothes a signal while preserving strong edges, with applications in computer vision and graphics.
Download (5540.pdf)
584 KBEN 25 pages
Researchers propose a scenario tree decomposition approach to obtain bounds for risk-averse mixed-integer multi-stage stochastic programming problems with a...
VideoReTalking: Audio-based Lip Synchronization for Real-World Video Editing (2211.14758.pdf)
3.5 MBEN 13 pages
VideoReTalking uses audio-based lip synchronization to create realistic talking head videos, even in 'in-the-wild' conditions, accurately matching lip movements to input audio and retouching facial expressions.
Gear Pitting Fault Diagnosis using Acoustic Emission (pdf-158286-84583)
1.39 MBEN 8 pages
Gear pitting fault detection crucial for industrial equipment reliability. Traditional methods use vibration signals and machine learning for diagnosis.
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