Audio-Visual Source Localization (AVSL) aims to localize the source of sound within a video. In this paper, we identify a significant issue in existing benchmarks: the sounding objects are often easily recognized based solely on visual cues, which we refer to as visual bias. Such biases hinder these benchmarks from effectively evaluating AVSL models. To further validate our hypothesis regarding visual biases, we examine two representative AVSL benchmarks, VGG-SS and EpicSounding-Object, where the vision-only models outperform all audiovisual baselines. Our findings suggest that existing AVSL benchmarks need further refinement to facilitate audio-visual learning.
Unveiling Modality Bias: Automated Sample-Specific Analysis for Multimodal Misinformation Benchmarks
The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；City University of Hong Kong（香港城市大学）；Sun Yat-sen University（中山大学）；Harbin Institute of Technology（哈尔滨工业大学）；Nanyang Technological University（新加坡国立大学）
Audio-Visual Segmentation by Exploring Cross-Modal Mutual Semantics
University of Technology Sydney（悉尼科技大学）；The University of Queensland（昆士兰大学）；Futureverse；The Hong Kong University of Science and Technology（香港科技大学）；CSIRO DATA61（联邦科学与工业研究组织数据61研究所）；Netease Fuxi AI Lab（网易伏羲人工智能实验室）
Shortcut Learning in Binary Classifier Black Boxes: Applications to Voice Anti-Spoofing and Biometrics
TCG CREST；Carnegie Mellon University（卡内基梅隆大学）；School of Computing, University of Eastern Finland（东部芬兰大学计算机学院）；University of Eastern Finland（东部芬兰大学）；University of Oulu（奥卢大学）
Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation
Australian Institute for Machine Learning, University of Adelaide（阿德莱德大学澳大利亚机器学习研究院）；St Vincent’s Hospital Melbourne（墨尔本圣文森特医院）；Centre for Vision, Speech and Signal Processing, University of Surrey（萨里大学视觉、语音与信号处理中心）
RFM-Editing 2: Text-Guided Audio Editing with Rectified Flow Matching and Coarse-to-Fine Diffusion Transformers
Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey（萨里大学视觉、语音与信号处理中心）；School of Artificial Intelligence, Beijing University of Posts and Telecommunications（北京邮电大学人工智能学院）；Fisheries College, Ocean University of China（中国海洋大学水产学院）；College of Information and Electrical Engineering, China Agricultural University（中国农业大学信息与电气工程学院）
