It is a service for defect detection and defect localization in hard metal industry read more of Defect Buster

EurekAD is a service for anomaly detection in Industrial time series data. read more of EurekAD: A revolutionary Anomaly Detection Framework

An open-source LLaMa2 language model of 7b parameters fine-tuned (using as base model NousResearch/Nous-Hermes-llama-2-7b) to follow instructions in italian. read more of LLM fine-tuned to follow instructions in Italian

This model analyses the input text and provides an answer whether in the text there is a change of topic or not (resp. TOPPICCHANGE, SAMETOPIC). read more of Topic change detector in Italian news content

A masked contrastive learning framework for learning meaningful fine-grained representations with coarse-labeled dataset. read more of MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset

A self-supervised learning method aiming to alleviate the inherent false-negative problem in contrastive learning framework. read more of Adaptive Soft Contrastive Learning

A robust and efficient training framework tackling with dataset with noisy labels. read more of SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise

A self-supervised pre-training method with focus on alleviating class collision problem using a cross-context learning scheme. read more of Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features

A CLIP-based visual-language model called DFER-CLIP for in-the-wild dynamic facial expression of emotion recognition. read more of Prompting Visual-Language Models for Dynamic Facial Expression Recognition

Leverages the association between parts of speech and specific visual modes of variation to better separate representations of style from content in the CLIP representations read more of Parts of Speech–Grounded Subspaces in Vision-Language Models