#计算机科学#OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
翻译 - OpenMMLab的下一代操作理解工具箱和基准
Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.
Inflated i3d network with inception backbone, weights transfered from tensorflow
Transforms for video datasets in pytorch
Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)
#计算机科学#Video Platform for Action Recognition and Object Detection in Pytorch
Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN
PyTorch implementation of Multi-modal Dense Video Captioning (CVPR 2020 Workshops)
#计算机科学#TensorFlow code for finetuning I3D model on UCF101.
#计算机科学#A one stop shop for all of your activity recognition needs.
#计算机科学#Sign Language Recognition for Deaf People
#计算机科学#Video Classification based on PyTorch
I3D features extractor with resnet50 backbone
Rewriting the I3D blender addon from scratch and adding long-sought community features
#计算机科学#I3D implemetation in Keras + video preprocessing + visualization of results
[CVPR2020] Clean-Label Backdoor Attacks on Video Recognition Models
