80 results for “topic:contrastive-loss”
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
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
PyTorch implementation of the InfoNCE loss for self-supervised learning.
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
official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection
pytorch implementation of scene change detection
[ECCV 2022 Oral] Official Pytorch implementation of CCPL and SCTNet
CLIP (Contrastive Language–Image Pre-training) for Italian
Official implementation for "Image Quality Assessment using Contrastive Learning"
This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval" (Accepted by IEEE TIP)
[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
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)
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)
COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations
No description provided.
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
Official implementation for "CONVIQT: Contrastive Video Quality Estimator"
Implementation of CDR - Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction
Metric Learning TF 2.0+Keras Algorithm Implementations for Facial Recognition
Task Agnostic Unsupervised Learning