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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/LanaSina/chainer_prednet
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
https://github.com/LarryJiang134/Image_manipulation_detection
https://github.com/LavieLuo/DRA
Discriminative Residual Analysis for Image Set Classification with Posture and Age Variations
https://github.com/LdDl/odam
https://github.com/LdDl/rust-road-traffic
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
https://github.com/LeMU-Haruka/reconet-mindspore
https://github.com/LebronGG/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Lechatelia/action-proposal-generation
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/Lee-Ft/RHA
Relation-aware Hierarchical Attention Framework for Video Question Answering
https://github.com/LeonShangguan/CSC449_Project
Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report
https://github.com/Lester1711/DSI15_Capstone
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/LijieFan/tvnet
End-to-End Learning of Motion Representation for Video Understanding
https://github.com/Lin716/STPN-lin
Weakly Supervised Action Localization by Sparse Temporal Pooling Network
https://github.com/LinguoLi/CrosSCLR
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
https://github.com/LinhanDai/yolov4-deepsort
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/LisaAnne/TemporalLanguageRelease
https://github.com/Little-Frog-233/imagecluster
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/LokiVKlokeNaAndoke/hackathon_traffic_light
https://github.com/Lorna-Liu/ultrasound_vsumm_RL
Ultrasound Video Summarization using Deep Reinforcement Learning
https://github.com/Lornatang/DRRN-PyTorch
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
https://github.com/Lornatang/ESPCN-PyTorch
https://github.com/Lornatang/ESRGAN-PyTorch
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/Lornatang/FSRCNN-PyTorch
https://github.com/Lornatang/SRCNN-PyTorch
https://github.com/Lornatang/VDSR-PyTorch
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
https://github.com/Lornatang/tensorflow-vgg
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Lotayou/everybody_dance_now_pytorch
https://github.com/LouisDumont/GCN---re-implementation
Semi-Supervised Classification with Graph Convolutional Networks
https://github.com/Lubsey1/inpainting_colab
https://github.com/LuojieH/CycleTrack
https://github.com/Lw510107/pointnet-2018.6.27-
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/MCG-NJU/OCSampler
OCSampler: Compressing Videos to One Clip with Single-step Sampling
https://github.com/MCG-NJU/VideoChat-Online
https://github.com/MDSKUL/MasterProject
VideoBERT: A Joint Model for Video and Language Representation Learning
https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME
Simple Online and Realtime Tracking with a Deep Association Metric
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.