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Image Classification
Introduction
ImageNet Classification with Deep CNN
OverFeat
RAM
CapsNet
VGG
ResNet
Image Detection
Introduction
R-CNN
Fast R-CNN
Faster R-CNN
R-FCN
YOLO
YOLOv2
YOLOv3
SSD
FSSD
RFB
Deformable Convolutional Networks
RetinaNet
Image Segmentation
Introduction
SqueezeSeg
SqueezeSegv2
Image Generation
Introduction
Photographic Image Synthesis with Cascaded Refinement Networks
Natural Language Processing
Introduction
Reinforcement Learning
Introduction
Tracking
Introduction
Online Multi-Target Tracking RNN
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
SORT
DeepSORT
MaskProp
Counting
Introduction
Highway Vehicle Counting in Compressed Domain
Scene Graph
Introduction
Image Generation From Scene Graph
Neural Motifs, Scene Graph Parsing with Global Context
Scene Graph Generation From Images
Knowing your Network
Introduction
Why Should I Trust You ?
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Flow estimation
Introduction
FlowNet
FlowNet2
DSTFlow
Unsupervised Deep Learning for Optical Flow Estimation
Estimating Velocity Fields on a Freeway From Low-Resolution Videos
Highway Traffic Information Extraction fiom Skycam MPEG Video
Compressed-Domain Highway Vehicle Counting by Spatial and Temporal Regression
Traffic Congestion Estimation Using HMM Models Without Vehicle Tracking
An algorithm to estimate mean vehicle speed from MPEG Skycam video
A Semi-Automatic 2D solution for Vehicle Speed Estimation from Monocular Videos
Estimation and Analysis of Urban Traffic Flow
Algorithms for Calibrating Roadside Traffic Cameras and Estimating Mean Vehicle Speed
Others
Introduction
CoordConv
Accurate, Large Minibatch SGD:Training ImageNet in 1 Hour
How transferable are features in deep neural networks?
Optimizers
Introduction
Stochastic gradient descent
Datasets
Introduction
Database
Object Counting
Events
Forgery
Image Classification/Detection
Image Segmentation
NLP
RL
Tracking
Graphs
Contributing
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