The ENL metric measures the smoothness in the homogeneous regions.

While the ImageNet dataset has been driving computer vision research over the past decade, significant label noise and ambiguity have made top-1 accuracy an insufficient measure of further progress.

We thank all reviewers for their constructive comments and address the raised issues below. As described in Secion 3.2 of the manuscript, we introduce the The source code, as mentioned on L141, will be made available to the public. R1: Why the adaptive flow filtering is a better way of reducing artifacts? Our method could be seen as a learnable median filter in spirit. Although the quantitative improvement from the adaptive flow filtering (ada.) is small, this component is important in generating results with higher visual quality SepConv has originally been trained on high-quality videos with large motion.

Science Archaeology Metal detectorist finds medieval pendant with a Roman'secret' The discovery is an artifact within an artifact. Breakthroughs, discoveries, and DIY tips sent six days a week. A discovery on a farm in Essex, England, is a bit of an archaeological version of the 2010 film . In September 2024, a metal detectorist scouring a farm about 45 miles northeast of London found a silver, oval pendant measuring about one-inch-long. The piece included an inscribed frame of mirrored Latin text that allowed for wax impressions.

From surveys of the pre-Sputnik skies to analysis of interstellar visitors, scientists are rethinking how and where to look for physical traces of alien technology. Science fiction is awash in the material remnants of extraterrestrial civilizations, which surface in everything from the classic books of Arthur C. Clarke to game franchises like and . The discovery of the first interstellar objects in the solar system within the past decade has sparked speculation that they could be alien artifacts or spaceships, though the scientific consensus remains that all three of these visitors have natural explanations. That said, scientists have been anticipating the possibility of encountering alien artifacts since the dawn of the space age. "In the history of technosignatures, the possibility that there could be artifacts in the solar system has been around for a long time," says Adam Frank, a professor of astrophysics at the University of Rochester.

Ornate medieval ring discovered in Norway's oldest town Scientists are still investigating if the ring's center stone is a sapphire or colored glass. Breakthroughs, discoveries, and DIY tips sent every weekday. Last summer, Linda Åsheim found a ring so beautiful it looks like it could have been made yesterday. But Åsheim is an archaeologist, and she found the rare artifact while excavating in a Norwegian town believed to be the oldest in the country. The gorgeous golden ring is decorated with a gemstone and filigree décor--and is over 800 years old.

Applying image processing algorithms independently to each video frame often leads to temporal inconsistency in the resulting video. To address this issue, we present a novel and general approach for blind video temporal consistency.

In this supplemental material, we first present the detailed network architecture and parameters of the proposed approach in Sec. A. We further provide more analysis of the proposed method and ablation studies in Sec. B. Section C shows some qualitative results for potential applications of the proposed approach on medical imaging and imaging in astronomy. Our goal of this section is to complement the results in the main paper (in particular Tab. 3 in the The basic reconstruction network that contains three residual blocks followed by one convolutional layer is denoted as Basic reconstruction . We thus disable our proposed feature refinement network for all the baseline methods in this section. The results in Tab. 8 demonstrate that the deep features are more effective for extracting useful The last row in Tab. 8 reports the results of the proposed approach with the deep Wiener deconvolution B.2 Effectiveness of learned deep features with a basic reconstruction network In the main paper, we compare the proposed method with state-of-the-art methods on the dataset of Levin et al. Figure 6: Illustration of learned deep features.