| _ | softmax | _ |
|---|
| Accurate and Reliable Facial Expression Recognition Using Advanced | softmax | Loss With Fixed Weights |
| Additive Margin | softmax | for Face Verification |
| Age Estimation Based on a Single Network with Soft | softmax | of Aging Modeling |
| Application of | softmax | Regression And Its Validation for Spectral-based Land Cover Mapping |
| Attention-Enhanced Dual-Branch Residual Network with Adaptive L- | softmax | Loss for Specific Emitter Identification under Low-Signal-to-Noise Ratio Conditions |
| Augmentation Invariant and Instance Spreading Feature for | softmax | Embedding |
| Augmenting | softmax | Information for Selective Classification with Out-of-distribution Data |
| AutoLoss-GMS: Searching Generalized Margin-based | softmax | Loss Function for Person Re-identification |
| Balanced | softmax | cross-entropy for incremental learning with and without memory |
| Boosting separated | softmax | with discrimination for class incremental learning |
| Cam- | softmax | for discriminative deep feature learning |
| Channel Selection Using Gumbel | softmax | |
| Data-Free/Data-Sparse | softmax | Parameter Estimation With Structured Class Geometries |
| Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled | softmax | |
| Emotion Recognition with Spatial Attention and Temporal | softmax | Pooling |
| EnhanceFace: Adaptive Weighted | softmax | Loss for Deep Face Recognition |
| Explaining Convolutional Neural Networks using | softmax | Gradient Layer-wise Relevance Propagation |
| Extracting Effective Subnetworks with Gumbel- | softmax | |
| Filter Pruning Via | softmax | Attention |
| GB-Cosface: Rethinking | softmax | -based Face Recognition from the Perspective of Open Set Classification |
| GEN: Pushing the Limits of | softmax | -Based Out-of-Distribution Detection |
| Group | softmax | Loss with Discriminative Feature Grouping |
| Hardware-Aware | softmax | Approximation for Deep Neural Networks |
| HeadPose- | softmax | : Head pose adaptive curriculum learning loss for deep face recognition |
| High Performance Large Scale Face Recognition with Multi-cognition | softmax | and Feature Retrieval |
| Imbalance Robust | softmax | for Deep Embeeding Learning |
| Improving metric-based few-shot learning with dynamically scaled | softmax | loss |
| Land Cover Classification from Satellite Imagery with U-Net and Lovasz- | softmax | Loss |
| Learning discriminative features via weights-biased | softmax | loss |
| Long-Tailed Traffic Sign Detection Using Attentive Fusion and Hierarchical Group | softmax | |
| Lovasz- | softmax | Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks, The |
| Multi-Label | softmax | Networks for Pulmonary Nodule Classification Using Unbalanced and Dependent Categories |
| Noisy | softmax | : Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation |
| Noisy | softmax | : Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation |
| Object Detection and Localization Using Deep Convolutional Networks with | softmax | Activation and Multi-class Log Loss |
| OSLNet: Deep Small-Sample Classification With an Orthogonal | softmax | Layer |
| Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group | softmax | |
| RBF- | softmax | : Learning Deep Representative Prototypes with Radial Basis Function Softmax |
| RBF- | softmax | : Learning Deep Representative Prototypes with Radial Basis Function Softmax |
| Rethinking Efficacy of | softmax | for Lightweight Non-local Neural Networks |
| Robust Normalized | softmax | Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise |
| RVFace: Reliable Vector Guided | softmax | Loss for Face Recognition |
| SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable | softmax | Approximation |
| Significance of | softmax | -Based Features in Comparison to Distance Metric Learning-Based Features |
| SimA: Simple | softmax | -free Attention for Vision Transformers |
| Simple and Effective Out-of-Distribution Detection via Cosine-based | softmax | Loss |
| SO- | softmax | loss for discriminable embedding learning in CNNs |
| softmax | Bias Correction for Quantized Generative Models |
| softmax | Regression for ECOC Reconstruction |
| softmax | Splatting for Video Frame Interpolation |
| softmax | -Free Loss Function Based on Predefined Optimal-Distribution of Latent Features for Deep Learning Classifier, A |
| SS-IL: Separated | softmax | for Incremental Learning |
| Temporal Stochastic | softmax | for 3D CNNs: An Application in Facial Expression Recognition |
| Unifying Margin-Based | softmax | Losses in Face Recognition |
| Unsupervised Domain Adaptation by regularizing | softmax | Activation |
| Visual trajectory analysis via Replicated | softmax | -based models |
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