https://github.com/AD2605/Action-Recognition
A Closer Look at Spatiotemporal Convolutions for Action Recognition
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AI-Guru/pointcloud_experiments
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/AI-secure/Transferability-Reduced-Smooth-Ensemble
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/AIOSYM/dl-model-gallery
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/AKASH2907/Content-based-Video-Recommendation
https://github.com/AKASH2907/Content-based-Video-Relevance-Prediction
https://github.com/AMAP-ML/RealQA
https://github.com/Aadhvin02/https-github.com-meagmohit-EEG-Datasets
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
https://github.com/Aanisha/SuperResolution
https://github.com/Aaron-Pu/cma_xdVioDet
https://github.com/AbdalaDiasse/Video-classification-for-oil-quality-estimation
https://github.com/Abdulrahman-Adel/Real-Life-Violence-Detection
https://github.com/AbdurrahmanNadi/activity_recognition_web_service
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/AbertayMachineLearningGroup/machine-learning-SIEM-water-infrastructure
Improving SIEM for Critical SCADA Water Infrastructures Using Machine Learning
https://github.com/AbhijnanVegi/Face-detection
https://github.com/AbhinavJhanwar/object-detection-classification
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
https://github.com/AbhinayReddyYarva/SuperResolution
https://github.com/AbiterVX/ST-GCN
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/AdarshMJ/PredGAN
https://github.com/Afsaan/CNN-Architectures
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Ahsanr312/Object-Detection-and-Tracking-using-YOLOv3-and-DeepSort
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/AlbertFeng-0405/SceneTransformer-pytorch
Scene Transformer: A unified architecture for predicting multiple agent trajectories
https://github.com/AlbertoSabater/Domain-and-View-point-Agnostic-Hand-Action-Recognition
https://github.com/Alescontrela/viper_rl
https://github.com/AlexMRuch/Can-x2vec-Save-Lives
https://github.com/AlexeyAB/darknet
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
https://github.com/AlexiaJM/Deep-learning-with-cats
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
https://github.com/Alexyuda/action_recognition
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
https://github.com/AlfredoZermini/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Alioth2000/RASVSR
https://github.com/AlvesRobot/Deep-Learning-on-Point-Cloud-for-3D-Classification-and-Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/AmirsSaad/UWPhysDepth
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/Amritha16/ImageResolutionEnhancement
https://github.com/Anak2016/GAT
https://github.com/AnandS09/dip-deepsort
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/AndreiMoraru123/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.