[ACM MM 2024] Code for the paper "Robust Variational Contrastive Learning for Partially View-unaligned Clustering"
-
Updated
Sep 7, 2024 - Python
[ACM MM 2024] Code for the paper "Robust Variational Contrastive Learning for Partially View-unaligned Clustering"
The implement for paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval"
An open source implementation of CLIP.
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
incremental learning experiments
Official implementation for "Image Quality Assessment using Contrastive Learning"
CLIP Like model fine tuned for the SemEval-2023 Visual-WSD task
[ECCV 2022 Oral] Official Pytorch implementation of CCPL and SCTNet
Implementation of Cyclist Pressure Research Paper
PyTorch implementation of the InfoNCE loss for self-supervised learning.
[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.
This repository contains code for the PhD thesis: "A Study of Self-training Variants for Semi-supervised Image Classification" and publications.
Official companion repository for the paper "A Metric Learning Approach to Misogyny Categorization" at the 5th Workshop on Representation Learning for NLP, ACL 2020
COMPSCI 696DS Industry Mentorship Program with Meta Reality Labs: Ambient AI: Multimodal Wearable Sensor Understanding (Experiments in Distilling Knowledge in Cross-Modal Contrastive Learning.)
SketchZoo is a project that utilizes Siamese neural networks for efficient animal image retrieval. With the power of contrastive and triplet loss functions, SketchZoo accurately matches hand-drawn animal sketches to corresponding images. It also provides a user-friendly GUI interface for convenient image retrieval based on sketches
Developed a deep novel coupled profile to frontal face recognition network incorporating pose as an auxiliary information via attention mechanism (i.e., implemented a pose attention module).
Siamese and triplet networks with online pair/triplet mining in PyTorch
This repo is the code of paper "Model-Aware Contrastive Learning: Towards Escaping Dilemmas" (ICML'2023).
official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection
Add a description, image, and links to the contrastive-loss topic page so that developers can more easily learn about it.
To associate your repository with the contrastive-loss topic, visit your repo's landing page and select "manage topics."