03 2019 档案
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摘要：Illustrated: Efficient Neural Architecture Search Guide on macro and micro search strategies in ENAS 2019-03-27 09:41:07 This blog is copied from: htt
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摘要：The Evolved Transformer - Enhancing Transformer with Neural Architecture Search 2019-03-26 19:14:33 Paper："The Evolved Transformer." So, David R., Che
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摘要：Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification 2019-03-26 15:27:10 Paper：https://arxiv.org/pdf/1903.09776.pdf Code: https:
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摘要：NAS（神经结构搜索）综述 文章转载自：http://www.tensorinfinity.com/paper_136.html NAS（神经结构搜索）综述 文章转载自：http://www.tensorinfinity.com/paper_136.html 本文是对神经结构搜索（NAS）的简单综述
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摘要：import os import numpy as np import pandas as pd from tqdm import tqdm import numpy as np import string import nltk from nltk.tokenize import word_tokenize from textblob import TextBlob import pdb ...
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摘要：Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking 2019-03-20 16:45:23 Paper：https://arxiv.org/pdf/1812.06148.pdf Project Page: h
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摘要：ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware 2019-03-19 16:13:18 Paper：https://openreview.net/forum?id=HylVB3AqYm Code：
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摘要：DARTS: Differentiable Architecture Search 2019-03-19 10:04:26accepted by ICLR 2019 Paper：https://arxiv.org/pdf/1806.09055.pdf Code：https://github.com/
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摘要：Progressive Neural Architecture Search 2019-03-18 20:28:13 Paper：http://openaccess.thecvf.com/content_ECCV_2018/papers/Chenxi_Liu_Progressive_Neural_A
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摘要：Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation2019-03-18 14:45:44 Paper：https://arxiv.org/pdf/1901.02985 Offica
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摘要：How Transformers Work The Neural Network used by Open AI and DeepMind Original English Version link：https://towardsdatascience.com/transformers-141e32
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摘要：Deeper and Wider Siamese Networks for Real-Time Visual TrackingUpdated on 2019-04-01 16:10:37 Paper (arXiv V3)：https://arxiv.org/pdf/1901.01660.pdf Co
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摘要：ATOM: Accurate Tracking by Overlap Maximization 2019-03-12 23:48:42 Paper：https://arxiv.org/pdf/1811.07628 Code: https://github.com/visionml/pytrackin
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摘要：Fast Online Object Tracking and Segmentation: A Unifying Approach CVPR-2019 2019-03-11 23:45:12 Paper：https://arxiv.org/pdf/1812.05050 Project Page: h
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