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Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition.

, , , , and . Int. J. Comput. Vis., 129 (5): 1768-1786 (2021)

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I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively., , , and . ICLR, OpenReview.net, (2020)Perceptual Assessment and Optimization of High Dynamic Range Image Rendering., , and . CoRR, (2023)Comparison of No-Reference Image Quality Models via MAP Estimation in Diffusion Latents., , , , and . CoRR, (2024)Troubleshooting Blind Image Quality Models in the Wild., , , , and . CVPR, page 16256-16265. Computer Vision Foundation / IEEE, (2021)Hiding Images in Deep Probabilistic Models., , , , and . NeurIPS, (2022)Learned HDR Image Compression for Perceptually Optimal Storage and Display., , , , , , , and . CoRR, (2024)Continual Learning for Blind Image Quality Assessment., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (3): 2864-2878 (March 2023)Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems., , , and . Int. J. Comput. Vis., 129 (4): 1258-1281 (2021)Debiased Subjective Assessment of Real-World Image Enhancement., , and . CVPR, page 711-721. Computer Vision Foundation / IEEE, (2021)Blind Image Quality Assessment by Learning from Multiple Annotators., , , and . ICIP, page 2344-2348. IEEE, (2019)