【小白笔记】EAST：Learning Policies for Adaptive Tracking with Deep Feature Cascades - 代码天地

【小白笔记】EAST：Learning Policies for Adaptive Tracking with Deep Feature Cascades

其他 2018-10-22 11:21:54 阅读次数: 0

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转载自blog.csdn.net/sinat_27318881/article/details/82726989

【小白笔记】EAST：Learning Policies for Adaptive Tracking with Deep Feature Cascades

Feature Tracking

【小白笔记】目标跟踪(Unveiling the Power of Deep Tracking)论文笔记

论文笔记：Unsupervised Feature Selection with Adaptive Structure Learning

泡泡一分钟： Deep-LK for Efficient Adaptive Object Tracking

Deep Reinforcement Learning with Iterative Shift for Visual Tracking

《Deep Learning for Visual Tracking: A Comprehensive Survey》

【小白笔记】Correlation Tracking via Joint Discrimination and Reliability Learning

Unsupervised Feature Learning and Deep Learning|UFLDL入门

[CVPR2018] Context-aware Deep Feature Compression for High-speed Visual Tracking

A Discriminative Feature Learning Approach for Deep Face Recognition

论文笔记：Deep Attentive Tracking via Reciprocative Learning

「Deep Learning」Note on Deep Convolutinal Activation Feature (DeCAF)

【5分钟 Paper】Reinforcement Learning with Deep Energy-Based Policies

A Discriminative Feature Learning Approach for Deep Face Recognition 论文笔记

《A Discriminative Feature Learning Approach for Deep Face Recognition》论文笔记

论文笔记-Deep Affinity Network for Multiple Object Tracking

论文笔记：Visual Object Tracking based on Adaptive Siamese and Motion Estimation Network

基于自适应弹性网络回归的目标跟踪(OBJECT TRACKING WITH ADAPTIVE ELASTIC NET REGRESSION)阅读笔记

【小白笔记】目标跟踪VIVAT(Visual Tracking via Adversarial Learning)论文笔记

论文阅读：Deep Metric Learning via Lifted Structured Feature Embedding

From feature descriptors to deep learning: 20 years of computer vision

【人脸识别】A Discriminative Feature Learning Approach for Deep Face Recognition

Center Loss - A Discriminative Feature Learning Approach for Deep Face Recognition

PointNet++：Deep Hierarchical Feature Learning on Point Sets in a Metric Space

BassNet：Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image ...

【小白笔记】CFNet：End-to-end representation learning for Correlation Filter based tracking

【小白笔记】目标跟踪LSART(learning spatial-aware regressions for visual tracking)

Deep Learning Based Registration文章阅读(三)《Reinforced Feature Points: Optimizing Feature Detection and》

阅读笔记Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps

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