Center Loss ——A Discriminative Feature Learning Approach for Deep Face Recognition
GraphReID ——Adaptive Graph Representation Learning for Video Person Re-identification
Loss of FaceRecognition ——L-Softmax/A-Softmax(SphereFace)/CosineFace/ArcFace
STGCNN ——Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Neural Networks
SVM
Stack Dense U-Net ——Stacked Dense U-Nets with DualTransformers for Robust Face Alignment
Wing Loss ——Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
Adaptive Wing Loss ——Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
FBNet ——FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
FBNetV2 ——FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
once-for-all ——Once-For-All: Train one network and specialize it for efficient deployment
DARTS ——DARTS: Differentiable Architecture Search
PC-DARTS ——PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search
Noisy-DARTS ——Noisy Differentiable Architecture Search
MobileDets ——MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
DPatch ——DPatch: An Adversarial Patch Attack on Object Detectors