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

https://github.com/yasar-rehman/fedvssl

SpeedNet: Learning the Speediness in Videos

https://github.com/yashwanyne/Robust-Video-Colorization-with-Self-Attention-based-Progressive-Generative-Adversarial-Networks

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

https://github.com/yatindandi/Disentangled-Sequential-Autoencoder

Disentangled Sequential Autoencoder

https://github.com/yawayo/vid2vid

Video-to-Video Synthesis

https://github.com/yccyenchicheng/p2pvg

Point-to-Point Video Generation

https://github.com/ycxioooong/MovieSynopsisAssociation

Person Search in Videos with One Portrait Through Visual and Temporal Links

https://github.com/yczhang1017/SSD_resnet_pytorch

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/ydtydr/hyla

Simplifying Graph Convolutional Networks

https://github.com/ydzhang-stormstout/HAT

Graph Attention Networks

https://github.com/yelantingfeng/pyLucid

Lucid Data Dreaming for Video Object Segmentation

https://github.com/yenchenlin/fid

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

https://github.com/yevgm/deepadv3d

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/yformer/EfficientSAM

Efficient Track Anything

https://github.com/yfsong0709/ResGCNv1

Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition

https://github.com/yfxc/tensorflow-T3D

Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification

https://github.com/yhjo09/VSR-DUF

https://github.com/yiranvang/TransCenter_official

TransCenter: Transformers with Dense Representations for Multiple-Object Tracking

https://github.com/yiskw713/ClassActivationMapping

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

https://github.com/yiskw713/SmoothGradCAMplusplus

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

https://github.com/yiskw713/scorecam

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

https://github.com/yiyixuxu/TimeSformer-rolled-attention

Is Space-Time Attention All You Need for Video Understanding?

https://github.com/yjn870/srcnn-pytorch

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/yjzhai-cs/vehicle-10

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/ykasten/layered-neural-atlases

Layered Neural Atlases for Consistent Video Editing

https://github.com/ykrmm/sota_gnn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/ymlwww/rlproject

Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward

https://github.com/yogi2578/GameEngineLearning

Action-Conditional Video Prediction using Deep Networks in Atari Games

https://github.com/yongliang-wu/MM-VID

MM-VID: Advancing Video Understanding with GPT-4V(ision)

https://github.com/younggyoseo/mwm

Reinforcement Learning with Action-Free Pre-Training from Videos

https://github.com/youngjun0627/movie-rating

SlowFast Networks for Video Recognition

https://github.com/youngsean/unseenobjectswithmeanshift

Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction

https://github.com/youtubevos/MaskTrackRCNN

Video Instance Segmentation

https://github.com/yqyao/ssd.pytorch

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/yslenjoy/machine_learning_SuperResolution

Accurate Image Super-Resolution Using Very Deep Convolutional Networks

https://github.com/ytng001/sensemaking

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/ytw1996/swin3d_mindspore

Video Swin Transformer

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