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Physical Adversarial Textures That Fool Visual Object Tracking 2020-02-24 23:35:19 Paper: ICCV-2019 Related Works: 1). SPARK: Spatial-aware Online Inc
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posted @ 2020-02-24 23:56
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Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images 2020-02-24 15:32:02 Paper: https://arxiv.org/pdf/1412.18
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posted @ 2020-02-24 15:37
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posted @ 2020-02-18 16:36
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Tutorial on Adversarial Example Generation 2020-02-14 09:37:06 Source: https://pytorch.org/tutorials/beginner/fgsm_tutorial.html Paper: Explaining and
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posted @ 2020-02-14 09:40
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NeurIPS 2019: Computer Vision Recap 2020-02-07 18:47:12 Source：https://medium.com/@dobko_m/neurips-2019-computer-vision-recap-ddd26b13337c Recap of so
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posted @ 2020-02-07 18:48
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Deep Learning for Time Series Classification (InceptionTime) 2020-02-03 17:02:30 Source: https://towardsdatascience.com/deep-learning-for-time-series-
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posted @ 2020-02-03 17:04
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posted @ 2020-02-02 17:28
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Contrastive Self-Supervised Learning 2020-01-30 10:32:24 Source: https://ankeshanand.com/blog/2020/01/26/contrative-self-supervised-learning.html Jan
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posted @ 2020-01-30 10:33
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The year in AI: 2019 ML/AI advances recap 2020-01-26 11:47:14 Source: https://medium.com/@xamat/the-year-in-ai-2019-ml-ai-advances-recap-c6cc1d902d5 I
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posted @ 2020-01-26 11:48
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Self-supervised learning and computer vision 2020-01-15 08:05:47 Source: https://www.fast.ai//2020/01/13/self_supervised/ Introduction to self-supervi
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posted @ 2020-01-15 08:07
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posted @ 2020-01-07 19:41
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Publish & Flourish: Become a Prolific Scholar Tara Gray* Source: http://blogs.longwood.edu/longwoodcafe/files/2015/10/How-to-Publish-and-Flourish.pdf
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posted @ 2020-01-07 18:35
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10 ML & NLP Research Highlights of 2019 2020-01-07 08:56:32 Source: https://ruder.io/research-highlights-2019/ This post gathers ten ML and NLP resear
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posted @ 2020-01-07 08:57
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Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection 2020-01-06 09:26:35 Paper：CVPR2019 Blog：link Code: https://github
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posted @ 2020-01-06 09:27
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Deep Reinforcement Learning is a waste of time Published Mon, Dec 30, 2019 Source: http://www.jtoy.net/blog/deep-reinforcement-learning-is-a-waste-of-
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posted @ 2020-01-01 09:15
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The Decade of Deep Learning 2020-01-01 12:10:25 Source: https://leogao.dev/2019/12/31/The-Decade-of-Deep-Learning/ As the 2010’s draw to a close, it’s
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posted @ 2020-01-01 09:11
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D3S – A Discriminative Single Shot Segmentation Tracker 2019-12-30 19:20:09 Paper: https://arxiv.org/pdf/1911.08862v1.pdf 1. Background and Motivation
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posted @ 2019-12-30 19:24
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Recent Advancements in NLP 2019-12-27 14:28:12 Source: 1. https://medium.com/swlh/recent-advancements-in-nlp-1-2-192ac7eefe3c 2. https://towardsdatasc
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posted @ 2019-12-27 14:32
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A list of datasets directly related to Music Information Retrieval Datasets 2019-12-27 13:08:08 Source: https://www.audiocontentanalysis.org/data-sets
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posted @ 2019-12-27 13:08
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Best Resources for Imbalanced Classification 2019-12-26 08:47:39 Source: https://machinelearningmastery.com/resources-for-imbalanced-classification/ C
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posted @ 2019-12-26 08:49
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Attention-based Dropout Layer for Weakly Supervised Object Localization 2019-12-24 21:21:44 Paper: http://openaccess.thecvf.com/content_CVPR_2019/pape
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posted @ 2019-12-24 21:23
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Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition 2019-12-24 20:10:01 Paper：http://openaccess.thecvf.com/content_cvpr_20
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posted @ 2019-12-24 20:17
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Batch DropBlock Network for Person Re-identification and Beyond ICCV 2019 2019-12-24 10:47:06 Paper：http://openaccess.thecvf.com/content_ICCV_2019/pap
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posted @ 2019-12-24 10:49
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Cross-channel Communication Networks 2019-12-13 14:17:18 Paper: https://papers.nips.cc/paper/8411-cross-channel-communication-networks.pdf Code: https
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posted @ 2019-12-13 14:19
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A Survey of Visual Attention Mechanisms in Deep Learning 2019-12-11 15:51:59 Source: https://mc.ai/a-survey-of-visual-attention-mechanisms-in-deep-lea
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posted @ 2019-12-11 15:53
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Siam R-CNN: Visual Tracking by Re-Detection 2019-12-02 22:21:48 Paper：https://128.84.21.199/abs/1911.12836 Code: 静候佳音 1. Background and Motivation: 本文
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posted @ 2019-12-03 08:43
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Better intuition for information theory 2019-12-01 21:21:33 Source: https://www.blackhc.net/blog/2019/better-intuition-for-information-theory/ The fol
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Awesome Knowledge-Distillation 2019-11-26 19:02:16 Source: https://github.com/FLHonker/Awesome-Knowledge-Distillation Awesome Knowledge-Distillation D
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Research Guide: Pruning Techniques for Neural Networks 2019-11-15 20:16:54 Original: https://heartbeat.fritz.ai/research-guide-pruning-techniques-for-
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posted @ 2019-11-15 17:18
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Behavior Trees for Path Planning (Autonomous Driving) 2019-11-13 08:16:52 Path planning in self-driving cars Path planning and decision making for aut
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posted @ 2019-11-13 08:18
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Self-Supervised Representation Learning 2019-11-11 21:12:14 This blog is copied from: https://lilianweng.github.io/lil-log/2019/11/10/self-supervised-
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posted @ 2019-11-11 21:52
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Matlab Script to pre-process UAV123 tracking dataset 2019-11-08 09:43:11 Official project page: https://ivul.kaust.edu.sa/Pages/Dataset-UAV123.aspx A
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posted @ 2019-11-01 13:07
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posted @ 2019-11-01 12:52
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posted @ 2019-11-01 12:51
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posted @ 2019-10-31 19:42
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posted @ 2019-10-31 11:45
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Pushing state-of-the-art in 3D content understanding 2019-10-31 06:34:08 This blog is copied from: https://ai.facebook.com/blog/pushing-state-of-the-a
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posted @ 2019-10-31 06:35
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Learning to Track Any Object 2019-10-28 12:14:49 Paper: https://arxiv.org/abs/1910.11844 1. Background and Motivation: 在本文开始部分，作者就提到 object prior 对于跟踪
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posted @ 2019-10-28 12:16
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Multihypothesis Trajectory Analysis for Robust Visual Tracking 2019-10-27 14:33:49 Paper: https://www.cv-foundation.org/openaccess/content_cvpr_2015/p
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