To develop a trustworthy AI system, it is essential to understand its behavior using attribution methods, which aim to identify the input regions that most influence the model's decisions. For discrete inputs such as images, however, accurately identifying input prediction interactions is particularly challenging becau...
Ruo-Yu Chen, Si-Yuan Liang, Jing-Zhi Li et al.· IEEE Transactions on Pattern...· 7 citations
Accurate medical image segmentation plays a vital role in clinical diagnostics by facilitating the precise delineation of anatomical structures and pathological regions. However, the performance of existing segmentation methods is often constrained by the scarcity of high-quality annotated datasets, as manual labeling...
Chao Huang, Peng Chen, Jie Wen et al.· IEEE Transactions on Image P...· 1 citation
Text-rich scene image super-resolution (TS-ISR) aims to recover high-quality images with legible text from degraded inputs, benefiting mobile photography and enhancing visual inputs for multimodal understanding. Existing methods rely on real-world image super-resolution or text image super-resolution, making it difficu...
Na Jiang, Yuxuan Qiu, Jia-Wei Zhang et al.· IEEE Transactions on Image P...· 0 citations
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