🚩 00 |
DeepLearning-500-questions |
总结学习资料 |
01 |
Salient Object Detection |
Paper list1 & list2 |
02 |
Person ReID |
视频行人重识别2019各顶会顶刊文章 |
02+ |
Person ReID |
Re-ID中的特征对齐--从ICCV 2017到CVPR 2020 |
03 |
Recommender System |
Related paper list & Basis paper and code |
04 |
Human skeleton estimation |
视觉俞刚,简要梳理; 一个很好的human pose with DL简述 |
05 |
Face Detection |
Related paper and code, dataset |
06 |
Object Detection |
Complete paper list & Related paper and code, dataset |
07 |
Transfer Learning |
Related paper and code, dataset |
08 |
Video Object Segmentation |
Related paper and code, dataset |
09 |
Semantic Segmentation |
Paper List;语义分割该如何走下去? |
10 |
Instance Segmentation |
实例分割最新最全面综述:从Mask R-CNN到BlendMask,单阶段实例分割(Single Shot Instance Segmentation)进展综述 |
11 |
Super-resolution |
深度学习超分辨率综述 |
12 |
Pose estimation |
基于深度学习目标姿态估计的论文一览(2017-2020); 简述 Human Pose with Deep-learning; 3D Human相关研究总结 |
13 |
Graph Neural Network |
图神经网络GNN2019-2020顶会论文列表 |
14 |
self-,semi & Un- supervision |
图像分类最新技术综述论文: 21种半监督、自监督和无监督学习方法 |
15 |
Generative Adversarial Networks |
史上最全GAN综述2020版:算法、理论及应用 |
16 |
Stereo Matching |
双目深度估计中的自监督学习概览 |
17 |
Self-supervision Learning |
一文读懂 Self-supervision Learning |
18 |
Edge Detection |
Awesome-Edge-Detection-Papers |
19 |
Representation Learning |
什么是Representation Learning? |
20 |
Attention technology |
Attention 相关主流研究 |
21 |
few/zero/single shot learning |
小样本元学习最新综述 |
22 |
Deep Active learning |
深度主动学习最新综述2020 |
23 |
Medical model Uncertainty |
医学图像模型不确定性论文和代码总结 |
24 |
Visual Transformer |
《视觉Transformer转换器》综述论文 and Performer: 基于正交随机特征的快速注意力计算 and 万能 Transformer,你应该知道的一切! and Code解析 |
25 |
Pose Estimation: A Survey in DL |
基于深度学习的人体姿态估计综述:全面调研(2014-2020) |
26 |
Event Camera |
视频慢动作 and 合成孔径成像 |
27 |
RGB-D Semantic Segmentation |
RGBD语义分割总结 |
28 |
Diffusion Model |
生成扩散模型漫谈 |