GitHub

An open-source framework for Pedestrian Attribute Recognition, based on PyTorch

🔥 [Aug-25-2025] SequencePAR is accepted by the journal Pattern Recognition 🔥 [July-15-2025] SNN-PAR is accepted by the 13th International Conference on Image and Graphics (ICIG 2025) 🔥 [May-30-2025 ...
GitHub

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

10/10/2020: New paper and SOTA in Emotion Recognition in Conversations on the MELD dataset. Refer to the directory COSMIC for the code. Read the paper -- COSMIC: COmmonSense knowledge for eMotion ...
IEEE

Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function

Abstract: Multi-label emotion classification (MLEC) for low-resource languages like Arabic faces significant challenges due to class imbalance and label correlations, particularly in accurately ...
IEEE

Improving Multi-Label Emotion Classification on Imbalanced Social Media Data With BERT and Clipped Asymmetric Loss

Abstract: This research addresses the challenge of multi-label emotion classification on imbalanced datasets using a BERT-based model. Emotion classification, essential for applications like social ...
Frontiers

A multi-label text sentiment analysis model based on sentiment correlation modeling

The ECO-SAM utilizes a pre-trained BERT encoder to obtain semantic embedding of input texts and then leverages a self-attention mechanism to model the semantic correlation between emotions.
Frontiers

EEGformer: A transformer–based brain activity classification method using EEG signal

The effective analysis methods for steady-state visual evoked potential (SSVEP) signals are critical in supporting an early diagnosis of glaucoma. Most efforts focused on adopting existing techniques ...