There are 7 repositories under contrastive-loss topic.
An open source implementation of CLIP.
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Siamese and triplet networks with online pair/triplet mining in PyTorch
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
Keras implementation of Representation Learning with Contrastive Predictive Coding
Contrastive Predictive Coding for Automatic Speaker Verification
PyTorch implementation of the InfoNCE loss for self-supervised learning.
official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection
pytorch implementation of scene change detection
Official Pytorch implementation of CCPL and SCTNet (ECCV2022, Oral)
CLIP (Contrastive Language–Image Pre-training) for Italian
A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network
[ICRA 2022] The official repository for "LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition", In 2022 International Conference on Robotics and Automation (ICRA), pp. 2215-2221.
Writer independent offline signature verification using convolutional siamese networks
This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)
The implement for paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval"
4th place solution for the Google Universal Image Embedding Kaggle Challenge. Instance-Level Recognition workshop at ECCV 2022
An implementation of Contrastive Loss in PyTorch using Siamese Networks
TensorFlow Implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Metric Learning TF 2.0+Keras Algorithm Implementations for Facial Recognition
Task Agnostic Unsupervised Learning
A PyTorch implementation of NPID based on CVPR 2018 paper "Unsupervised Feature Learning via Non-Parametric Instance Discrimination"
PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).
[CMIG‘2022] [Pytorch]A Contrastive Consistency Semi-supervised Left Atrium Segmentation Model
Similarity Learning applied to Speaker Verification and Semantic Textual Similarity
This repository contains the ipynb for a project on deep learning visual classification of food categories