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Loss Functions

1162 directly classified papers

Papers per year

Papers

Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction ICCV 2019
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression ICCV 2019
Improving Adversarial Robustness via Guided Complement Entropy ICCV 2019
Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation ICCV 2019
Symmetric Cross Entropy for Robust Learning With Noisy Labels ICCV 2019
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization EMNLP 2019
Forward-Backward Decoding for Regularizing End-to-End TTS INTERSPEECH 2019
A Logic-Driven Framework for Consistency of Neural Models EMNLP 2019
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression CVPR 2019
Bounding Box Regression With Uncertainty for Accurate Object Detection CVPR 2019
Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty ICCV 2019
Libra R-CNN: Towards Balanced Learning for Object Detection CVPR 2019
RegularFace: Deep Face Recognition via Exclusive Regularization CVPR 2019
Towards Accurate One-Stage Object Detection With AP-Loss CVPR 2019
Single-Frame Regularization for Temporally Stable CNNs CVPR 2019
Noise-Tolerant Paradigm for Training Face Recognition CNNs CVPR 2019
CFSNet: Toward a Controllable Feature Space for Image Restoration ICCV 2019
Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition ICCV 2019
AM-LFS: AutoML for Loss Function Search ICCV 2019
Conservative Wasserstein Training for Pose Estimation ICCV 2019
Scene Parsing via Integrated Classification Model and Variance-Based Regularization CVPR 2019
Focus Is All You Need: Loss Functions for Event-Based Vision CVPR 2019
Classification with Label Distribution Learning IJCAI 2019
TexturePose: Supervising Human Mesh Estimation With Texture Consistency ICCV 2019
BN-invariant Sharpness Regularizes the Training Model to Better Generalization IJCAI 2019