项目作者: Charmve

项目描述 :
📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.
高级语言:
项目地址: git://github.com/Charmve/PaperWeeklyAI.git
创建时间: 2020-09-15T03:15:59Z
项目社区:https://github.com/Charmve/PaperWeeklyAI

开源协议:MIT License

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Linux_Kernel_Development_3rd_Edition_1648284408972.pdf
Modern Operating Systems 4th Edition--Andrew Tanenbaum_1648284413317.pdf
Randal E. Bryant, David R. O’Hallaron - Computer Systems. A Programmer’s Perspective [3rd ed.] (2016, Pearson)_1648284416740.pdf
An End-to-End_1648284417869.pdf
Attenion is all you need_1648284418716.pdf
Computer Machinery and Intelligence (1)_1648284418887.pdf
FaceNet_1648284422172.pdf
Pre-trained_1648284422590.pdf
ResNeSt Split_1648284422870.pdf
Top-K Off-Policy_1648284423681.pdf
Very deep convolutional_1648284423799.pdf
YOLOv4_1648284426528.pdf
backprop_Hinton_1648284426889.pdf
01_Visual Commonsense R-CNN_1648284432236.pdf
02_Generalized ODIN-Detecting Out-of-distribution Image without Learning from Out-of-distribution Data_1648284435982.pdf
03_Blurry Video Frame Interpolation_1648284440379.pdf
04_Meta-Transfer Learning for Zero-Shot Super-Resolution_1648284444252.pdf
05_Total3DUnderstanding_1648284447115.pdf
06_Unbiased Scene Graph Generation from Biased Training_1648284449876.pdf
07_Auto-Encoding Twin-Bottleneck Hashing_1648284451388.pdf
08_Social-STGCNN_1648284455276.pdf
09_Towards Universal Representation Learning for Deep Face Recognition_1648284462738.pdf
10_ClusterFit_1648284465853.pdf
11_Learning to Shadow Hand-drawn Sketches_1648284479267.pdf
12_Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation_1648284483028.pdf
13_Zooming Slow-Mo_1648284486566.pdf
14_Object Relational Graph with Teacher-Recommended Learning for Video Captioning_1648284487965.pdf
15_Rethinking the Route Towards Weakly Supervised Object Localization_1648284488856.pdf
16_Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training_1648284495477.pdf
17_GhostNet_1648284496764.pdf
18_AdderNet_1648284497401.pdf
19_CARS_1648284497988.pdf
20_Single Image Reflection Removal through Cascaded Refinement_1648284502072.pdf
21_Filter Grafting for Deep Neural Networks_1648284502367.pdf
22_PolarMask_1648284507599.pdf
23_Semi-Supervised Semantic Image Segmentation with Self-correcting Networks_1648284510375.pdf
24_Defending Against Universal Attacks Through Selective Feature Regeneration_1648284519279.pdf
25_Sketch Less for More-On-the-Fly Fine-Grained Sketch Based Image Retrieval_1648284523694.pdf
26_SQuINTing at VQA Models-Introspecting VQA Models with Sub-Questions_1648284530177.pdf
27_Learning a Neural 3D Texture Space from 2D Exemplars_1648284535384.pdf
28_NestedVAE-Isolating Common Factors via Weak Supervision._1648284536783.pdf
29_The Garden of Forking Paths-Towards Multi-Future Trajectory Prediction_1648284539147.pdf
30_Towards Robust Image Classification Using Sequential Attention Models_1648284554969.pdf
31_Don’t Judge an Object by Its Context-Learning to Overcome Contextual Bias_1648284557637.pdf
An End-to-End_1648284558623.pdf
Attenion is all you need_1648284559481.pdf
Computer Machinery and Intelligence (1)_1648284559734.pdf
FaceNet_1648284563115.pdf
Pre-trained_1648284563637.pdf
ResNeSt Split_1648284563912.pdf
Top-K Off-Policy_1648284564707.pdf
Very deep convolutional_1648284564817.pdf
YOLOv4_1648284567794.pdf
backprop_Hinton_1648284568165.pdf
01_Visual Commonsense R-CNN_1648284573153.pdf
02_Generalized ODIN-Detecting Out-of-distribution Image without Learning from Out-of-distribution Data_1648284575798.pdf
03_Blurry Video Frame Interpolation_1648284576785.pdf
04_Meta-Transfer Learning for Zero-Shot Super-Resolution_1648284580779.pdf
05_Total3DUnderstanding_1648284586034.pdf
06_Unbiased Scene Graph Generation from Biased Training_1648284589162.pdf
07_Auto-Encoding Twin-Bottleneck Hashing_1648284590280.pdf
08_Social-STGCNN_1648284594395.pdf
09_Towards Universal Representation Learning for Deep Face Recognition_1648284600683.pdf
10_ClusterFit_1648284602832.pdf
11_Learning to Shadow Hand-drawn Sketches_1648284611438.pdf
12_Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation_1648284614618.pdf
13_Zooming Slow-Mo_1648284615980.pdf
14_Object Relational Graph with Teacher-Recommended Learning for Video Captioning_1648284616460.pdf
15_Rethinking the Route Towards Weakly Supervised Object Localization_1648284617840.pdf
16_Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training_1648284619666.pdf
17_GhostNet_1648284620906.pdf
18_AdderNet_1648284621343.pdf
19_CARS_1648284621683.pdf
20_Single Image Reflection Removal through Cascaded Refinement_1648284623330.pdf
21_Filter Grafting for Deep Neural Networks_1648284623616.pdf
22_PolarMask_1648284624315.pdf
23_Semi-Supervised Semantic Image Segmentation with Self-correcting Networks_1648284627019.pdf
24_Defending Against Universal Attacks Through Selective Feature Regeneration_1648284635553.pdf
25_Sketch Less for More-On-the-Fly Fine-Grained Sketch Based Image Retrieval_1648284638493.pdf
26_SQuINTing at VQA Models-Introspecting VQA Models with Sub-Questions_1648284639561.pdf
27_Learning a Neural 3D Texture Space from 2D Exemplars_1648284640134.pdf
28_NestedVAE-Isolating Common Factors via Weak Supervision._1648284640835.pdf
29_The Garden of Forking Paths-Towards Multi-Future Trajectory Prediction_1648284641075.pdf
30_Towards Robust Image Classification Using Sequential Attention Models_1648284642412.pdf
31_Don’t Judge an Object by Its Context-Learning to Overcome Contextual Bias_1648284644411.pdf
5638-faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks_1648284645102.pdf
Faster R-CNN Towards Real-Time Object Detection with Region Proposal Networks_1648284645445.pdf
Fully Convolutional Networks for Semantic Segmentation_1648284645920.pdf
SegNet_1648284646442.pdf
U-Net:Convolutional Networks for Biomedical Image Segmentation_1648284646639.pdf
2012.李航.统计学习方法_1648284283188.pdf
Deep Learning Book (English)_1648284301029.pdf
Deep Learning for Search_1648284309148.pdf
Deep Learning with Python_1648284322929.pdf
Machine Learning in Action [Peter Harrington]_1648284333912.pdf
Notes from Coursera Deep Learning courses by Andrew Ng_1648284337694.pdf
Principles of Robot Motion:Theory,Algorithms,and Implementations_1648284339868.pdf
Linear Algeria Done Wrong_1648284341339.pdf
算法Algorithms(第四版)中文版_1648284355545.pdf
编程珠玑(Programming Pearls)_1648284365264.pdf