https://github.com/sebastiantiesmeyer/deeplabchop3d
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Papers with Code 아카이브
Action Localization
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Action Localization is finding the spatial and temporal co ordinates for an action in a video. An action localization model will identify which frame an action start and ends in video and return the x,y coordinates of an action. Further the co ordinates will change when the object performing action undergoes a displacement.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/secretlyvogon/IndRNNTF
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
https://github.com/secretlyvogon/Neural-Network-Implementations
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
https://github.com/selmiss/gp-tlstgcn
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
https://github.com/semi0612/cat_and_dog_vgg
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ser-art/RAE-vs-AE
https://github.com/seu-zxj/llm-augmented-mtr
Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving
https://github.com/shashidhar100/Comparison-of-gradcam-and-gradcam_plus_plus_keras
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
https://github.com/shenweichen/GraphNeuralNetwork
https://github.com/shi27feng/transformers.satisfy
https://github.com/shlizee/Predict-Cluster
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition
https://github.com/shubhambitsg/activity-recognition
Moments in Time Dataset: one million videos for event understanding
https://github.com/shuuchen/video_autoencoder
https://github.com/sicara/tf-explain
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
https://github.com/siddharthbhonge/Neural_Style_transfer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/simo-bat/Crack_detection
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/simonmeister/UnFlow
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
https://github.com/singh-shakti94/Deep-Learning-Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sitegui/ceci-nest-pas-un-chat
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sj-li/MS-TCN2
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation
https://github.com/skkuse02/2019fall_41class_team8
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/small-whirlwind/EfficientGCN_paddle
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition
https://github.com/smfirmin/DeepLearningFinalProject
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/smhall97/deep_dreaming_music
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sming256/AdaTAD
End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames
https://github.com/snowkylin/gnn
https://github.com/snownus/COOP
https://github.com/soumik12345/point-cloud-segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/soumith/convnet-benchmarks
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/souravverma94/pre_trained_imgclassifier_dogBreeds
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sovit-123/Deep-Learning-Image-Captioning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sppsps/VGG-16-classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sssste/tridet
Temporal Action Localization with Enhanced Instant Discriminability
https://github.com/stanfordnlp/pyreft
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
https://github.com/stefkim/stylegan-batik
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/stepankonev/waymo-motion-prediction-challenge-2022-multipath-plus-plus
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.