https://github.com/prasadsawant5/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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/princeton-vl/SimpleView
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/princeton-vl/d3dhelper
https://github.com/prinshul/GWSDR
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/priyavrat-misra/xrays-and-gradcam
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/pwc-1/Paper-9/tree/main/3/AVA_cifar
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
https://github.com/pwc-1/Paper-9/tree/main/3/vat
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
https://github.com/pwc-1/Paper-9/tree/main/4/ACGNet
ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization
https://github.com/pytorch/vision
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/qema/orca-py
https://github.com/qingzhiwu/Temporal-Context-Aggregation-Network-Pytorch
Temporal Context Aggregation Network for Temporal Action Proposal Refinement
https://github.com/qingzhiwu/pytorch-act-detector
Action Tubelet Detector for Spatio-Temporal Action Localization
https://github.com/qiwang233/dailydvs-200
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
https://github.com/qyuan7/RNN_RL_molecule
Molecular De Novo Design through Deep Reinforcement Learning
https://github.com/qyuan7/RNN_TL_molecule
Molecular De Novo Design through Deep Reinforcement Learning
https://github.com/rafaelmata357/Flower-image-classifier
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raferguson/CNN-Profile-Picture
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raguilar-f/Thermal-Face-Recognition-Using-Convolutional-Neural-Networks-and-Transfer-Learning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raguilar-f/Thermal-face-recognition-using-transfer-learning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rainyBJ/RTD_RePro
Relaxed Transformer Decoders for Direct Action Proposal Generation
https://github.com/raj-gupta1/Flower-Species-Classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raj-gupta1/Tomato-leaves-disease-Predictor
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raphaelmemmesheimer/gimme_signals_action_recognition
Gimme Signals: Discriminative signal encoding for multimodal activity recognition
https://github.com/raymondyeh07/chirality_nets
https://github.com/rekon/T3D-keras
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification
https://github.com/researchmm/2D-TAN
Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization
https://github.com/rhero12/Slic
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rhgao/Deep-MIML-Network
Im2Flow: Motion Hallucination from Static Images for Action Recognition
https://github.com/rhgao/Im2Flow
Im2Flow: Motion Hallucination from Static Images for Action Recognition
https://github.com/rhgao/separating-object-sounds
Im2Flow: Motion Hallucination from Static Images for Action Recognition
https://github.com/richieyoum/Pneumonia-diagnosis
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rickyHong/tfoptflow-repl
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
https://github.com/rijuldhir/TSM
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/rishabh-vij/Neural_Style_transfer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rizqiamaliatuss/PotatoLeafDiseaseClassification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rk68657/AutoEncoders
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.