* 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, ...
{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 (...
Given this boom in personal data, major advances in areas such as healthcare, natural language processing, computer vision, and more have been made with the use of deep learning. Federated Learning (FL) is an increasingly popular setting to train powerful deep neural networks with data derived ...
Deep learning has revolutionized the fields of computer vision, natural language understanding, speech recognition, information retrieval, and more. However, with the progressive improvements in deep learning models, their number of parameters, latency, and resources required to train, among others, have...
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition (NeurIPS 2022) arXivcodeOpenReview 在计算机视觉任务中,Full fine-tuning 通常直接去fine tune整个预训练模型,这会带来较大的计算资源的需求。 受NLP中相关工作的启发(如Parameter-Efficient Transfer Learning for NLP),作者探索了在CV任务中...
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-...
{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://...
In this paper, we introduce a deep learning-enabled mobile application which can run entirely on common low-cost smartphones for efficient and robust herb image recognition with a quite competitive recognition accuracy in resource-limited situations. We hope this application can make contributions to ...
Deep learning and computer vision algorithms can deliver highly accurate and automated interpretation of medical imaging to augment and assist clinicians. However, medical imaging presents uniquely pertinent obstacles such as a lack of accessible data or a high-cost of annotation. To address this, we...