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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ken724049/action-recognition

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/kenanidris/deoldify

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

https://github.com/kentsyx/Neural-IMage-Assessment

NIMA: Neural Image Assessment

https://github.com/kenziyuliu/DGNN-PyTorch

https://github.com/keras-team/keras-io/blob/master/examples/vision/token_learner.py

TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

https://github.com/keras-team/keras-io/blob/master/examples/vision/vivit.py

ViViT: A Video Vision Transformer

https://github.com/kerenfu/rdvs

Depth-Cooperated Trimodal Network for Video Salient Object Detection

https://github.com/keunwoochoi/Auralisation

Visualizing and Understanding Convolutional Networks

https://github.com/kfragkedaki/pedestrian_project

SIND: A Drone Dataset at Signalized Intersection in China

https://github.com/khalidw/MOT16_Annotator

MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

https://github.com/khawajatalhahaseeb/Class-Activation-Map-Keras

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/khieu/cifar10_challenge

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/khu-vll/cast

CAST: Cross-Attention in Space and Time for Video Action Recognition

https://github.com/khurram702/StyleBasedGAN

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/khyeyoon/Video-Super-Resolution

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

https://github.com/kietngt00/hmdb51-recognition

A Closer Look at Spatiotemporal Convolutions for Action Recognition

https://github.com/kiharalab/gnn_pocket

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/kim-younghan/FEELVOS

FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation

https://github.com/kingcheng2000/GAN

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

https://github.com/kingcong/ecolite

ECO: Efficient Convolutional Network for Online Video Understanding

https://github.com/kingcong/gpu_ESRGAN

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/kingcong/r2plus1d

A Closer Look at Spatiotemporal Convolutions for Action Recognition

https://github.com/kingcong/stnet

StNet: Local and Global Spatial-Temporal Modeling for Action Recognition

https://github.com/kini5gowda/ALBA-RL-for-VOS

ALBA : Reinforcement Learning for Video Object Segmentation

https://github.com/kjm1559/ADAE_LSTM_Autoencoder

Unsupervised Learning of Video Representations using LSTMs

https://github.com/kk1694/octaveconv-pytorch

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution

https://github.com/kkahatapitiya/X3D-Multigrid

A Multigrid Method for Efficiently Training Video Models

https://github.com/kmaninis/OSVOS-PyTorch

One-Shot Video Object Segmentation

https://github.com/kmaninis/OSVOS-caffe

One-Shot Video Object Segmentation

https://github.com/kn-lambda/Pred-Net

Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

https://github.com/knorth55/chainer-sort

Simple Online and Realtime Tracking

https://github.com/kocurvik/BCS_results

Detection of 3D Bounding Boxes of Vehicles Using Perspective Transformation for Accurate Speed Measurement

https://github.com/kocurvik/CVWW2019_results

https://github.com/koi953215/NaRCan

Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution

https://github.com/konny0311/vgg

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/kornia/kornia

DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.