General Purpose
Supervised Learning
Convolutional Neural Network
Classification
- [LeNet] Gradient-Based Learning Applied to Document Recognition, 1998 [paper]
- [AlexNet] ImageNet Classification with Deep Convolutional Neural Networks, 2012 [paper]
- [ZFNet] Visualizing and Understanding Convolutional Networks, 2014 [paper]
- [VGGNet] Very Deep Convolutional Networks for Large-Scale Image Recognition, 2014 [paper]
- [GoogLeNet(inception)] Going Deeper with Convolutions, 2015 [paper]
- [ResNet] Deep Residual Learning for Image Recognition, 2016 [paper]
- [DenseNet] Densely Connected Convolutional Networks, 2017 [paper]
- [XceptionNet] Xception: Deep Learning with Depthwise Separable Convolutions, 2017 [paper]
Object Detection
- [OverFeat] OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks, 2013 [paper]
- [R-CNN] Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation, 2014 [paper]
- [YOLO] You Only Look Once: Unified, Real-Time Object Detection, 2015 [paper]
- [SPP-Net] Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition, 2015 [paper]
- [Fast R-CNN] Fast r-cnn, 2015 [paper]
- [Faster R-CNN] Faster R-CNN: towards real-time object detection with region proposal networks, 2015 [paper]
- [SSD] SSD: Single Shot MultiBox Detector, 2015 [paper]
- [R-FCN] R-FCN: Object Detection via Region-based Fully Convolutional Networks, 2016 [paper]
- [FPN] Feature Pyramid Networks for Object Detection, 2016 [paper]
- [YOLOv2, YOLO9000] YOLO9000: Better, Faster, Stronger, 2016 [paper]
- [Mask R-CNN] Mask R-CNN, 2017 [paper]
- [RetinaNet] Focal Loss for Dense Object Detection, 2017 [paper]
- [YOLOv3] YOLOv3: An Incremental Improvement, 2018 [paper]
Semantic Segmantation
-
CNN visualization
- Deep inside convolutional networks: Visualising image classification models and saliency maps, 2013 [paper]
- [ZFNet] Visualizing and Understanding Convolutional Networks, 2014 [paper]
- do convnets learn correspondence?, 2014 [paper]
- Object Detectors Emerge in Deep Scene CNNs, 2014 [paper]
- Rich feature hierarchies for accurate object detection and semantic segmentation, 2014 [paper]
- Striving for simplicity: The all convolutional net, 2014 [paper] [review]
- Deep neural networks are easily fooled: High confidence predictions for unrecognizable images, 2015 [paper]
- explaining and harnessing adversarial examples, 2015 [paper]
- Understanding deep image representations by inverting them, 2015 [paper]
- [CAM] Learning Deep Features for Discriminative Localization, 2016 [paper] [review]
- Inverting visual representations with convolutional networks, 2016 [paper]
- [Grad-CAM] Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization, 2017 [paper] [review]
Recurrent/Recursive Neural Network
- -
Both CNN & RNN
Unsupervised Learning
Deep Belief Network
Auto Encoder
Generative adversarial Network
Reinforcement Learning
DQN
Meta Learning
Siamese Network
- Learning a Similarity Metric Discriminatively with Application to Face Verification, 2005 [paper]
- Learning Fine-grained Image Similarity with Deep Ranking, 2014 [paper] [review]
- Siamese Neural Networks for One-shot Image Recognition, 2015 [paper]
- DEEP METRIC LEARNING USING TRIPLET NETWORK, 2015 [paper] [review]
- FaceNet: A Unified Embedding for Face Recognition and Clustering, 2015 [paper] [review]
- In Defense of the Triplet Loss for Person Re-Identification, 2017 [paper]
Curriculum learning
Domain
image restoration/reconstruction (super-resolution)
Fire Detection
Image Forensics
Financial Analysis
Sound Recognition
[GMM-UBM]
- Speaker Verification Using Adapted Gaussian, 2000 [paper]
[GSV-SVM, JFA]
- SVM based speaker verification using a GMM supervector kernel and NAP variability compensation, 2006 [paper]
- Speaker and session variability in GMM-based speaker verification, 2007 [paper]
[i-vector/CSS]
- Discriminative and generative approaches for long-and short-term speaker characteristics modeling: application to speaker verification, 2009 [paper]
[i-vector/PLDA]
- Bayesian speaker verification with heavy-tailed priors., 2010 [pdf]
- Front-end factor analysis for speaker verification, 2011 [paper]
- Supervised domain adaptation for i-vector based speaker recognition, 2014 [paper]
[i-vector/DNN]
- A novel scheme for speaker recognition using a phonetically-aware deep neural network, 2014 [paper]
- Speaker verification using kernel-based binary classifiers with binary operation derived features, 2014 [paper]
- Denoising autoencoder-based speaker feature restoration for utterances of short duration, 2015 [paper]
- Discriminative autoencoders for speaker verification, 2017 [paper]
- Advanced b-vector system based deep neural network as classifier for speaker verification, 2016 [paper]
[DNN]
- Deep neural networks for small footprint text-dependent speaker verification., 2014 [paper]
- End-to-end text-dependent speaker verification, 2016 [paper]
- End-to-end attention based text-dependent speaker verification, 2016 [paper]
- [Deep speaker]: an end-to-end neural speaker embedding system, 2017 [paper]
- A complete end-to-end speaker verification system using deep neural networks: From raw signals to verification result, 2018 [paper] [review]
- Generalised Discriminative Transform via Curriculum Learning for Speaker Recognition, 2018 [paper]
-
Generalized end-to-end loss for speaker verification, 2018 [paper]
- [DATASET] VoxCeleb: a large-scale speaker identification dataset, 2018 [paper] [review]
Agriculture
- Evaluation of Features for Leaf Classification in Challenging Conditions, 2015 [paper] [review]
- Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification, 2016 [paper] [review]
- Using Deep Learning for Image-Based Plant Disease Detection, 2016 [paper]
-
A Deep Learning-based Approach for Banana Leaf Diseases Classification, 2017 [paper] [review]
-
Deep learning in agriculture: A survey, 2018 [paper]
- [DATASET] University of Arcansas, Plants Dataset [site1] [site2]
- [DATASET] EPEL, Plant Village Dataset [site]
- currently not available!
- [DATASET] Leafsnap Dataset [site]
- [DATASET] LifeCLEF Dataset [site]
- [DATASET] Africa Soil Information Service(AFSIS) Dataset [site]
- [DATASET] UC Merced Land Use Dataset [site]
- [DATASET] MalayaKew Dataset [site]
- [DATASET] Crop/Weed Field Image Dataset [paper] [site]
- [DATASET] University of Bonn Photogrammetry, IGG [site]
- [DATASET] Flavia leaf Dataset [site]
- [DATASET] Syngenta Crop Challenge 2017 [site]
- [DATASET] Plant Image Analysis [site]
- [DATASET] PlantVillage Disease Classification Challenge - Color Images [site]