Popular GitHub Repositories for Betavae Metric

Torchreid: Deep learning person re-identification in PyTorch.

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Metric depth estimation from a single image

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Universal Monocular Metric Depth Estimation

Official implementation of Adabins: Depth Estimation using adaptive bins

Blazing fast framework for fine-tuning similarity learning models

PyTorch Implementation for Deep Metric Learning Pipelines

Paper List for Contrastive Learning for Natural Language Processing

[CVPR 2024 - Oral] Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

A simple yet effective loss function for face verification.

A library for ML benchmarking. It's powerful.

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View

TOOD: Task-aligned One-stage Object Detection, ICCV2021 Oral

Learning to Cluster. A deep clustering strategy.

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.