首页  思维导图  详情



 



计算机视觉应用技术

2020-05-17 17:46:50   1  举报





AI智能生成

计算机视觉应用领域与方法

深度学习

图像处理

学习笔记

模板推荐

作者其他创作

大纲/内容

深度估计

method

多目深度估计

GeoNet(Geometric Neural Network)

单目深度估计

Deep Ordinal Regression Network(DORN)

metric

Roor Mean Squared Error(RMSE)

Lg Error(LG)

图像检索

method

SPoC(sum-pooled convolutional features)

Vector of Local Aggregated Descriptor（VLAD）

DELF(Attentive Deep Local Features)

Deep Local and Global Features(DLGF)

metric

MAP(mean average precision)

Rank-k

CMC(culmulative matching curve)

图像描述

metric

BLEU(Bilingual Evaluation Understudy)

CIDER(Consensus-based Image Description Evaluation)<br>

METEOR(Metric for Evaluation of Translation with Explicit ORdering)

ROUGE(Recall-Oriented Understudy for Gisting Evaluation)

SPICE(Semantic Propositional Image Caption Evaluation)

Perplexity

method

m-RNN(Multimodal Recurrent Neural Networks)

NIC(Neural Image Caption Generator)

Adaptive Attention Model

Show and Tell

dataset

The Visual Genome Dataset

ABSTRACT-50S dataset

子主题

视觉问答

dataset

DAQUAR (DAtaset for QUestion Answering on Real-world images)

MS-COCO-QA(Question Answering)

metric

Wu-Palmer similarity(WUPS)

Resnik Similarity

Lin Similarity

method

Neural-Image-QA

Movie Question Answering (MQA)

图像修复

Context Encoders: Feature Learning by Inpainting

DCGAN(Deep Convolution)

图像配准

method

STN(Spatial Transofrom Network) - TPN(Thin Plate Network)

DIRNet(Deformable Image Resistration)

SGM(Semi Global Matching)

Graph Based Matching Method

metric

repeatability

文字识别

method

文本检测

CTPN(Connectionist Text Proposal Network)

PSENet(Progressive Scale Expansion Network)

EAST(Efficient and Accurate Scene Text Detector)

Single-Shot Arbitrarily-Shaped Text Detector(SAST)

Differentiable Binarization（DB）

方向检测

anglenet

文本识别

CRNN(Convolutional Recurrent Neural Network)

Rosetta

SpaTial Attention Residue Network（STAR-Net)

Robust Scene Text Recognition with Automatic Rectification(RARE)

Semantic Reasoning Networks（SRN）

metric

图像去噪

Bayesian Least Squares Gaussian scale mixture (BLS-GSM)<br>

Block-matching and 3D filtering (BM3D)

cascade of shrinkage fields (CSF)

trainable nonlinear reaction diffusion (TNRD)

线条检测

method

VPGNet(Vanishing Point Guided Network)

SCNN(Spatial CNN for Traffic Scene Understanding)

PINet(Point Intance Network)

Hough Transoform

metric

mIOU

3D视觉点云

人脸关键点

method

Convolutional Pose Machines（CPM）

RMPE( Regional Multi-person Pose Estimation)

Practical Facial Landmark Detector（PFLD）

metric

OKS（object keypoints）

dataset

LSP（Leeds Sports Pose Dataset）

FLIC（Frames Labeled In Cinema）

MPII（MPII Human Pose Dataset）

神经渲染

Neural 3D Mesh Renderer:NMR

DIB-R: Interpolation-based Differentiable Renderer

3D视觉影像

single image for kenburns effect

开拓思路

强化学习

图神经网络

多模态

超分重建

method

视频超分辨率重建

FRVSR (Frame-Recurrent Video Super-Resolution)

EDCN (Enhanced Deformable Convolutional Networks)

RBPN (Recurrent Back-Projection Network)

图像超分辨率重建

ESRGAN(Enhanced SRGAN)

TecoGAN (TEmporally COherent GAN)

ESPCN (Efficient Sub-Pixel Convolutional Neural Network)

DNI (Deep network interpolation)

RCAN (Residual Channel Attention Networks)

SAN (Second-Order Attention Network)

metric

Meansquareerror（MSE)

Signalnoiseratio（SNR)

Structuresimilarity（SSIM)

样本困难

meta learning

Optimization-Based

Metric-Based

Model-Based

zero-shot learning

Siamese Neural Networks

few-shot learning

self-supervised learning

method

AMDIM/DIM (Augmented Multiscale Deep InfoMax)

CPC (Contrastive Predictive Coding)

CMC (Contrastive Multi-view Coding)

SimCLR (Simple Contrastive Learning)

PIRL (Pretext-Invariant Representations Learning)

MoCo (Momentum Contrast)

unsupervised learning

unsupervised learning is similar to self-supervised learning except in labeling way or no label at all

目标检测

metric

IOU

mAP

PR(Precision Recall Curve)

method

双阶段目标检测

Faster RCNN(Region CNN) 

RetinaNet

Scale Normalization for Image Pyramids (SNIP)

Region-based Fully Convolutional Networks(RFCN)

单阶段目标检测

SSD(Single Shot Detection)

YOLO(Yon Onluy Look Once) series

多阶段目标检测

Cascade RCNN

Anchor Free Detection

语义分割

metirc

pixel accuracy

Mean IOU

method

FCN (Fully Convolution Network)

UNet ( Medical Image Segmentation)

CCNet( Criss-Cross Attention)

low-rank-recovery network (LRRNet)

DANet（Dual Attention Network）

SegNet ( semantic pixel-wise segmentation)

DeepLab Series

实例分割

method

单阶段实例分割

FCIS (Fully Convolutional Instance-aware Semantic Segmentation)

YOLACT(You Only Look At CoefficienTs)

PolarMask

BlendMask

SOLO (Segmenting Objects by Locations)

RDSNet (Reciprocal Object Detection and Instance Segmentation.)

双阶段实例分割

Mask-RCNN

metric

Pixel Accuracy(PA）

Mean Pixel Accuracy(MPA)

目标追踪

metric

Expected average overlap (EAO)

method

Oblique Random forest (Obli-Raf)

ensemble-based tracking (EBT)

 Multiple Experts Using Entropy (MEEM)

consistent low-rank sparse tracker(CLRST)

Continuous Convolution Operator Tracker (C-COT)

Efficient Convolution Operators（ECO）

MCCF（Multi-Channel Correlation Filters）

(SANet) Structure-Aware Network for Visual Tracking

(VITAL) VIsual Tracking via Adversarial Learning

(GOTURN) Generic Object Tracking Using Regression Networks

(CREST) Convolutional Residual Learning for Visual Tracking

ATOM (Accurate Tracking by Overlap Maximization)

Tips

online learning(cls) & offline learning(bbox)

图像生成

method

CRN(Convolutional Recurrent Network)

SPADE(Semantic Image Synthesis with Spatially-Adaptive Normalization.)

Pix2Pix

metric

IS(Inception Score)

FID(Frechet Inception Distance)

度量学习

method

Large margin nearest neighbor (LMNN)

Logistic Discriminant Metric Learning (LDML) 

Information Theoretic Metric Learning (ITML)

proxy-nca(s Neighborhood Component Analysis)

metric

pair ranking loss (Siamese Net)

triplet ranking loss (triplet mining)

dataset

SOP(standford online product)

CUB200(Caltech-UCSD Birds 200 )

Cars(196)

全景分割

metric

PQ（Panoptic Quality）

RQ（recognition quality）

SQ（segmentation quality）

method

TASCNet(Things and Stuff Consistency)

姿态估计

method

densepose

alphapose

openpose

deeppose

dataset

MPII(Multi Person)<br>

metric

OKS(object keypoint similarity)

PCK(Percentage of Correct Keypoints)

图像分类

method

多标签图像分类

HCP(cross-hypothesis max-pooling)

Regional Latent Semantic Dependencies (RLSD)

单标签图像分类

BlockQNN(Block-wise Neural Network Architecture Generation Q-learning)

CRU-Net (Collective Residual Networks)

IGCV(Interleaved Low-Rank Group Convolutions)

细粒度图像分类

metric

Recall

Preicesion

F-Score

人脸识别

method

检测

对齐

验证

识别

metric

False Accept Rate(FAR)

False Reject Rate (FRR)

 Collect

Get Started

计算机视觉历程

 Collect

Get Started

计算机发展简史

 Collect

Get Started

计算机视觉

 Collect

Get Started

MATLAB计算机视觉





0 条评论

下一页