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kinoteatrzarya
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Image Gallery: Sharks A great white shark, one of the most popular species with adventurers, explores the ocean off the coast of Australia. See more pictures of sharks. You can't hear a lot 60 feet (18 meters) below the surface of the ocean -- maybe just your own breathing into the scuba gear or the escape of air bubbles as they rush to the surface. You can feel your heart beating slowly as you watch fish glide past peacefully. You have let your guard down, you are relaxed and enjoying the sensation of the weight of the ocean above and around you, and the slow flow of the current deep beneath the surface. Then, out of the corner of your eye, you see a large shadow slide its way through the depths. The light down here is tricky, but there's definitely something large circling you and the other divers. You catch sight of it again, but it has multiplied into two shapes, now three.|The task of temporal grounding aims to locate video moment in an untrimmed video, with a given sentence query. This paper for the first time investigates some superficial biases that are specific to the temporal grounding task, and proposes a novel targeted solution. Most alarmingly, we observe that existing temporal ground models heavily rely on some biases (e.g., high preference on frequent concepts or certain temporal intervals) in the visual modal. This leads to inferior performance when generalizing the model in cross-scenario test setting. To this end, we propose a novel method called Debiased Temporal Language Localizer (Debias-TLL) to prevent the model from naively memorizing the biases and enforce it to ground the query sentence based on true inter-modal relationship. Debias-TLL simultaneously trains two models. By our design, a large discrepancy of these two models’ predictions when judging a sample reveals higher probability of being a biased sample. Harnessing the informative discrepancy, we devise a data re-weighing scheme for mitigating the data biases.




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