Deep Metric Learning
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Updated
Aug 10, 2020 - Python
Deep Metric Learning
A simple 3-layer fully connected network performing the density ratio estimation using the loss for log-likelihood ratio estimation (LLLR).
Design of a CNN (Convolutional Neural Networks) to classify CIFAR-10 images
Angular triplet center loss implementation in Pytorch.
PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
Inverse Supervised Learning
Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation
Official PyTorch implementation for "PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks"
Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.
Tensorflow Implementation of Focal Frequency Loss for Image Reconstruction and Synthesis [ICCV 2021]
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
📄 Official implementation regarding the paper "Programmatically Evolving Losses in Machine Learning".
An HR predictive analytics tool for forecasting the likely range of a worker’s future job performance using multiple ANNs with custom loss functions.
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
A better pytorch-based implementation for the mean structural similarity. Differentiable simpler SSIM and MS-SSIM.
A dependency free library of standardized optimization test functions written in pure Python.
Directional Distance Field for Modeling the Difference between 3D Point Clouds
Alternative loss function of binary cross entropy and focal loss
[CVPR 2024] Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching
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