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FacialExpressionRecognition

人脸识别之表情识别项目相关源码

opl

Official repository for "Orthogonal Projection Loss" (ICCV'21)

focal-frequency-loss

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

rainbow-memory

Official pytorch implementation of Rainbow Memory (CVPR 2021)

ODMD

Object Depth via Motion and Detection Dataset

FedDG-ELCFS

[CVPR'21] FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

CKA-Centered-Kernel-Alignment

Reproduce CKA: Similarity of Neural Network Representations Revisited

transfuser

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

STAR

[ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"

Context-Transformer-PedTraj

Official Implementation of the paper "Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks"

VehicleTrajectoryForecastingUsingTransformers

softmax_variants

PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss

MNIST

image classification via Triplet/Contrastive loss on MNIST dataset

gluon_GMLoss

The implementation of the paper "Rethinking Feature Distribution for Loss Functions in Image Classification"

algo-SSL

algorithm and experiment code of self-compacting softmax loss for the novelty-prepared few-shot classification

LossMNIST

Exploring the discriminating power of different loss functions for classification

softmax_triplet_loss

(WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer

expAT

TIP: Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification

fine-grained-few-shot-classification

a pytorch implementation to fine-grained few shot classification using triplet loss

triplet-loss-pytorch

A generic triplet data loader for image classification problems,and a triplet loss net demo.

Mutual-Channel-Loss

Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)

FaceRecognition

Face recognition using triplet loss, implementing FaceNet with pytorch.人脸识别项目，提供一个小型数据集用作验证，使用三元组损失函数(Triplet loss)提升准确率和泛化能力，对FaceNet进行了一种实现。

FER

Real-time Facial Expression Recognition ``In The Wild'' by Disentangling 3D Expression from Identity

TDGAN

This is the code repository of model TDGAN. Paper: Facial Expression Recognition with Two-branch Disentangled Generative Adversarial Network.

plane_fitting

Fitting a 2d plane to a 3d surface to assess local normal vector

Angular-Penalty-Softmax-Losses-Pytorch

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

gansformer

Generative Adversarial Transformers

Expression-Net

Deep 3DMM facial expression parameter extraction

CD-FER-Benchmark

A Unified Evaluation Benchmark for Cross-Domain Facial Expression Recognition (TPAMI'22, ACM MM'20)

RAF-DB-baselines

Implementation of the CVPR'17 paper, Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild