Deep Metric Learning
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Updated
Aug 10, 2020 - Python
Deep Metric Learning
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.
A dependency free library of standardized optimization test functions written in pure Python.
[CVPR 2024] Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching
A better pytorch-based implementation for the mean structural similarity. Differentiable simpler SSIM and MS-SSIM.
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
Angular triplet center loss implementation in Pytorch.
Tensorflow Implementation of Focal Frequency Loss for Image Reconstruction and Synthesis [ICCV 2021]
Directional Distance Field for Modeling the Difference between 3D Point Clouds
A simple 3-layer fully connected network performing the density ratio estimation using the loss for log-likelihood ratio estimation (LLLR).
Official PyTorch implementation for "PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks"
Adversarial Focal Loss: Asking Your Discriminator for Hard Examples.
Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation
An HR predictive analytics tool for forecasting the likely range of a worker’s future job performance using multiple ANNs with custom loss functions.
A neat, lightweight and single neuron perceptron written in C++ from scratch without any external library, trained using the perceptron trick and loss function
Piecewise linear approximations for the static-dynamic uncertainty strategy in stochastic lot-sizing
Inverse Supervised Learning
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