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2018fall

2d-kinectics

Train action classification model based on individual frames

3d-resnets-pytorch-master

add SEnet

3d_face_dense_registration

Towards Fine-Grained Optimal 3D Face Dense Registration: An Iterative Dividing and Diffusing Method (IJCV2023)

6869-project

adda-1

A tensorflow implement of Adversarial Discriminative Domain Adaptation

advbox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

apanet

Attention-based Pyramid Aggregation Network for Visual Place Recognition

au_r-cnn

official implementation code of paper: "AU R-CNN：Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection"

awesome-active-learning

A curated list of awesome Active Learning

awesome-fer

🔆 Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU) 💫 ✨

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-semi-supervised-learning

:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

bfm_to_flame

Convert from Basel Face Model (BFM) to the FLAME head model

caffeinstallationscript

can-micro-expression-be-recognized-based-on-single-apex-frame

Micro-expression apex frame detection

cgt

Code for Contrastive-Geometry Networks for Generalized 3D Pose Transfer

cmc

pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

cnn-rgbuav

Using CNN (convolutional neural networks) to map forest tree species in high resolution UAV-based RGB-imagery

combined-cnn-rnn-for-emotion-recognition

Predict valence and arousal from video data. Separate training of CNN and RNN. Feed RNN with simple feature vectors extracted from frames. Feature extraction is done by a simple CNN model.

cosnet

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

deep_motion_mag

Tensorflow implementation of Learning-based Video Motion Magnification

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

dvspat

Micro-expression Action Unit Detection with Dual-view Attentive Similarity-Preserving Knowledge Distillation

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

emonet

Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021

emotion-regression-in-the-wild

Regression Based Emotion Recognition using Aff-Wild dataset. Regression on Valence and Arousal values.

face-emotion-recognition

Efficient face emotion recognition in photos and videos