https://github.com/shashidhar100/Comparison-of-gradcam-and-gradcam_plus_plus_keras
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Papers with Code 아카이브
Temporal Action Localization
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Temporal Action Localization aims to detect activities in the video stream and output beginning and end timestamps. It is closely related to Temporal Action Proposal Generation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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/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
https://github.com/stevedepp/yolo4asl
TSM: Temporal Shift Module for Efficient Video Understanding
https://github.com/stillarrow/S2VT_ACT
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/stnoah1/infogcn
https://github.com/subercui/pyGConvAT
https://github.com/suhaslohit/TTN
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping
https://github.com/sulasen/race-events-recognition-1
https://github.com/sunjungAn/Tensorflow2.x-CV
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sunutf/TSM
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.