138 citations · 1.4k across the 89 of their papers we have counts for
23 papers · 1 filter
Unpaired Overwater Image Defogging Using Prior Map Guided CycleGAN
Yaozong Mo, Chaofeng Li, Wenqi Ren +3
Deep learning-based methods have achieved significant performance for image defogging. However, existing methods are mainly developed for land scenes and perform poorly when dealin…
Towards Generating Diverse Audio Captions via Adversarial Training
Xinhao Mei, Xubo Liu, Jianyuan Sun +2
Automated audio captioning is a cross-modal translation task for describing the content of audio clips with natural language sentences. This task has attracted increasing attention…
Ontology-aware Learning and Evaluation for Audio Tagging
Haohe Liu, Qiuqiang Kong, Xubo Liu +3
This study defines a new evaluation metric for audio tagging tasks to overcome the limitation of the conventional mean average precision (mAP) metric, which treats different kinds…
ASiT: Local-Global Audio Spectrogram vIsion Transformer for Event Classification
Sara Atito, Muhammad Awais, Wenwu Wang +2
Transformers, which were originally developed for natural language processing, have recently generated significant interest in the computer vision and audio communities due to thei…
Multi-dimensional Edge-based Audio Event Relational Graph Representation Learning for Acoustic Scene Classification
Yuanbo Hou, Siyang Song, Chuang Yu +3
Most existing deep learning-based acoustic scene classification (ASC) approaches directly utilize representations extracted from spectrograms to identify target scenes. However, th…
GCT: Gated Contextual Transformer for Sequential Audio Tagging
Yuanbo Hou, Yun Wang, Wenwu Wang +1
Audio tagging aims to assign predefined tags to audio clips to indicate the class information of audio events. Sequential audio tagging (SAT) means detecting both the class informa…