https://github.com/BelixRogner/SpeedChallenge
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/BerkeleyAutomation/dvrk-vismpc
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
https://github.com/BestJuly/IIC
Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework
https://github.com/BestJuly/VCP
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
https://github.com/BigLazyPig/Pytorch-StNet-Full-Implement
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
https://github.com/BingfengYan/DS_OCSORT
https://github.com/BlackPepperAPI/Cadene.pytorch
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
https://github.com/BlurryLight/DD-Net-Pytorch
Make Skeleton-based Action Recognition Model Smaller, Faster and Better
https://github.com/BoChenUIUC/YOWO
https://github.com/Bobholamovic/CDLab
https://github.com/Bonennult/video_prediction
https://github.com/Burf/SwinTransformer-Tensorflow2
https://github.com/Burf/tfdetection
https://github.com/BurguerJohn/Dain-App
https://github.com/CAMMA-public/cholect50
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
https://github.com/CM-BF/FeatureFlow
https://github.com/CNC-IISER-BHOPAL/Any-Body-Can-Dance
https://github.com/CODARcode/MGARD
Scalable Hybrid Learning Techniques for Scientific Data Compression
https://github.com/Cadden/paddle-adver
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/CellSMB/EM-net
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Chaolei98/FreeZAD
CoCa: Contrastive Captioners are Image-Text Foundation Models
https://github.com/CheesyB/cpointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/ChenDelong1999/VirtualConductor
VirtualConductor: Music-driven Conducting Video Generation System
https://github.com/ChengBinJin/ActionViewer
Real-Time Action Detection in Video Surveillance using Sub-Action Descriptor with Multi-CNN
https://github.com/ChengSashankh/trying-GAT
https://github.com/ChengyuSun/gat
https://github.com/ChetanTayal138/HAR-Web
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition
https://github.com/Chianugoogidi/X3D-tf
X3D: Expanding Architectures for Efficient Video Recognition
https://github.com/ChienliMa/DeConvNet
https://github.com/ChriXiang/GloRe_pytorch
https://github.com/ChrisWu1997/2D-Motion-Retargeting
Learning Character-Agnostic Motion for Motion Retargeting in 2D
https://github.com/ChristophReich1996/Swin-Transformer-V2
https://github.com/Cjiangbpcs/cjiang.github.io
https://github.com/Cloud-Computing-IoT/Cloud-Enabled-Smart-Speaker
https://github.com/Cloud-Computing-IoT/speakEasy
https://github.com/Cmeijiang/PointNet_MS
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.