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

https://github.com/dyelax/Adversarial_Video_Generation

Deep multi-scale video prediction beyond mean square error

https://github.com/dyhBUPT/StrongSORT

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

https://github.com/dzb1998/pyGAT

Graph Attention Networks

https://github.com/dzhv/Spatio-Temporal-mobile-traffic-forecasting

PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning

https://github.com/dzq84/MusicScore-script

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

https://github.com/dzwallkilled/IEforAR

Investigation of Different Skeleton Features for CNN-based 3D Action Recognition

https://github.com/e-apostolidis/AC-SUM-GAN

https://github.com/e-apostolidis/CA-SUM

https://github.com/e-apostolidis/PGL-SUM

https://github.com/e-apostolidis/SUM-GAN-AAE

https://github.com/e-apostolidis/SUM-GAN-sl

https://github.com/earthnet2021/earthnet-toolkit

EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task

https://github.com/ebarsoum/hpgan

HP-GAN: Probabilistic 3D human motion prediction via GAN

https://github.com/edgynieum/ashus_projects

The Kinetics Human Action Video Dataset

https://github.com/ee17b031-iittp/Projected-Gradient-Descent-with-CIFAR10

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/ehijano/Faster-RCNN-Global-Wheat-Detection

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/ehsannowroozi/RDFS

Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples

https://github.com/ejlb/squeezenet-chainer

Visualizing and Understanding Convolutional Networks

https://github.com/eknim/gradcamplusplus

Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

https://github.com/ekosman/AnomalyDetectionCVPR2018-Pytorch

Real-world Anomaly Detection in Surveillance Videos

https://github.com/eladb3/orvit

Object-Region Video Transformers

https://github.com/elbuco1/AttentionMechanismsTrajectoryPrediction

What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction

https://github.com/eldadp100/Towards-Deep-Learning-Models-Resistant-to-Adversarial-Attacks-Implementation

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/eldadp100/cnn_course_final

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/eliasboughosn/Spatial-Temporal-Graph-Convolutional-Networks

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/elliott-iadvize/ocr-aws-distributed

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/elras/SoftsegmentNeurons

Modular proximal optimization for multidimensional total-variation regularization

https://github.com/emartinezs44/SparkGCN

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/emsalinha/videosum-eval

Rethinking the Evaluation of Video Summaries

https://github.com/enriccorona/human-motion-prediction-pytorch

On human motion prediction using recurrent neural networks

https://github.com/epic-kitchens/epic-kitchens-55-action-models

An Evaluation of Action Recognition Models on EPIC-Kitchens

https://github.com/eric-erki/vid2vid

Video-to-Video Synthesis

https://github.com/eric-mitchell/serac

Fast Model Editing at Scale

https://github.com/eric-xw/Video-guided-Machine-Translation

VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research

https://github.com/ericksiavichay/cs230-final-project

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/eriklindernoren/PyTorch-GAN

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

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