* 其他: Published in Efficient Deep Learning for Computer Vision (ECV) CVPR Workshop 2022 * 摘要: 近年来,已经提出了新颖的激活功能来提高神经网络的性能,并且与Relu对应物相比,它们的性能卓越。但是,在某些环境中,复杂激活的可用性受到限制,并且通常只支持relu。在本文中,我们提出的方法可用于通过在模型训练...
Computer Vision has a long history of academic research, and recent advances in deep learning have provided significant improvements in the ability to understand visual content. As a result of these research advances on problems such as object classification, object detection, and image segmentation, ...
GitHub - jianghaojun/Awesome-Parameter-Efficient-Transfer-Learning: A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.github.com/jianghaojun/Awesome-Parameter-Efficient-Transfer-Learning AdaptFormer: Adapting Vision Transformers for Scalable Visua...
{Content-Adaptive Downsampling in Convolutional Neural Networks}, author = {Hesse, Robin and Schaub-Meyer, Simone and Roth, Stefan}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), The 6$^\text{th}$ Efficient Deep Learning for Computer Vision (...
讲者: Yingbin Liang Professor at the Department of Electrical and Computer Engineering at the Ohio State University (OSU) 讲座题目:Reward-free RL via Sample-Efficient Representation Learning 讲座摘要:As reward-free reinforcement learning (RL) becomes a powerful framework for a variety of multi-...
Deep learning has achieved great performance in computer vision and natural language processing tasks. The SOTA often makes use of a large-scale backbone, and ResNet-50 [1] has about 25.6 M parameters and requires 4.1B FLOPs to process an image of size 224 × 224. On the one hand, ...
Efficient methods for deep learning ☆doi:10.1016/b978-0-12-822109-9.00013-8Han CaiJi LinSong HanAdvanced Methods and Deep Learning in Computer Vision
复制 Cloud Studio代码运行 @inproceedings{luo16a,title={Efficient Deep LearningforStereo Matching},author={Luo,W.and Schwing,A.and Urtasun,R.},booktitle={International Conference on Computer Vision and PatternRecognition(CVPR)},year={2016},}
{Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={9296--9305}, year={2023} } @misc{zhu2023efg, title={EFG: An Efficient, Flexible, and General deep learning framework that retains minimal}, author={EFG Contributors}, howpublished = {\url{https://...
如果点击有误:https://github.com/LeBron-Jian/DeepLearningNote 摘要 我们针对移动端以及嵌入式视觉的应用提出了一类有效的模型叫MobileNets。MobileNets 是基于一种流线型结构使用深度可分离卷积来构造权重深度神经网络。我们介绍两个能够有效权衡延迟和准确率的简单的全局超参数。这些超参数允许模型构造器能够根据特定问题...