1 citations · 1 across the 9 of their papers we have counts for
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MetaRank: Task-Aware Metric Selection for Model Transferability Estimation
Yuhang Liu, Wenjie Zhao, Xin Wang +1
Selecting an appropriate pre-trained source model is a critical, yet computationally expensive, task in transfer learning. Model Transferability Estimation (MTE) methods address th…
From Pixel to Mask: A Survey of Out-of-Distribution Segmentation
Wenjie Zhao, Jia Li, Yunhui Guo
Out-of-distribution (OoD) detection and segmentation have attracted growing attention as concerns about AI security rise. Conventional OoD detection methods identify the existence…
: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time
Sarthak Kumar Maharana, Saksham Singh Kushwaha, Baoming Zhang +4
While recent audio-visual models have demonstrated impressive performance, their robustness to distributional shifts at test-time remains not fully understood. Existing robustness…
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
Yuhang Liu, Wenjie Zhao, Yunhui Guo
Task Incremental Learning (TIL) is a specialized form of Continual Learning (CL) in which a model incrementally learns from non-stationary data streams. Existing TIL methodologies…
Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?
Jia Li, Wenjie Zhao, Ziru Huang +2
Unlike traditional visual segmentation, audio-visual segmentation (AVS) requires the model not only to identify and segment objects but also to determine whether they are sound sou…