然而，大家都清楚，meta-learning的一大部分工作都是在few-shot的任务上进行算法开发和评测的。从18年开...
有大量的论文从meta learning这个方向来探索，同样也有大量的论文从CV的角度来突破,比如图像特征表示，图...
几篇论文实现代码:《Deep Meta Metric Learning》(ICCV 2019) GitHub: http://t.cn/Ai3jAzhd 《Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild》(ICCV 2019) GitHub: http://t.cn/Ai3jAz...
应用的话其实应该是比较重要的,结合不同可以用的问题来针对性优化,设计损失函数让metric learning loss和其它loss匹配. 这里看了一下tracking这边很多相似度度量,然后滤波的tracking还有挺多应用的,Siamese Net这边感觉不多? 然后就是在比较新的Zero/few-shot/meta learning上的应用了,自己这几个领域读的不多. 还有...
Deep Meta Metric Learning (DMML) This repo contains PyTorch code for ICCV19' paper: Deep Meta Metric Learning, including person re-identification experiments on Market-1501 and DukeMTMC-reID datasets. Requirements Python 3.6+ PyTorch 0.4
With this motivation, this paper presents a no-reference IQA metric based on deep meta-learning. The underlying idea is to learn the meta-knowledge shared by human when evaluating the quality of images with various distortions, which can then be adapted to unknown distortions easily. Specifically...
Deep metric learning to rank. In CVPR, pages 1861–1870, 2019. 2, 8 [6] Guangyi Chen, Tianren Zhang, Jiwen Lu, and Jie Zhou. Deep meta metric learning. In ICCV, pages 9547–9556, 2019. 1 [7] Weihua Chen, Xiaotang Chen, Jianguo Zhang, and Kaiqi Huang. Beyond triplet loss: a ...
Meta-learning's generalization ability to unknown tasks is improved by employing prior knowledge to assist the learning of new tasks. There are mainly three types of meta-learning methods: metric-based, model-based, and optimization-based meta-learning. We investigate classical algorithms and recent...
A survey of deep meta-learning作者:Mike Huisman, Jan N. van Rijn, Aske Plaat 摘要 Deep neural networks can achieve great successes when presented with large data sets and sufficient computational resources. However, their ability to learn new concepts quickly is limited. Meta-learning is one app...
RepMet: Representative-based metric learning for classification and few-shot object detection.(CVPR) Divide and Conquer the Embedding Space for Metric Learning. (CVPR) Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning. (CVPR) Deep Meta Metric Learning. (ICCV) Vehicle Re-id...