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World News, Americas, Special Report
You can watch the following animation to learn more about the basics of sound. Click the arrow to move on to the next slide. Acoustic levitation uses sound traveling through a fluid -- usually a gas -- to balance the force of gravity. On Earth, this can cause objects and materials to hover unsupported in the air. In space, it can hold objects steady so they don't move or drift. The process relies on of the properties of sound waves, especially intense sound waves. We'll look at how sound waves become capable of lifting objects in the next section. A basic acoustic levitator has two main parts -- a transducer, which is a vibrating surface that makes sound, and a reflector. Often, the transducer and reflector have concave surfaces to help focus the sound. A sound wave travels away from the transducer. Bounces off the reflector. Three basic properties of this traveling, reflecting wave help it to suspend objects in midair.|The gap in representations between image and video makes Image-to-Video Re-identi?cation (I2V Re-ID) challenging, and recent works formulate this problem as a knowledge distillation (KD) process. In this paper, we propose a mutual discriminative knowledge distillation framework to transfer a video-based richer representation to an image based representation more effectively. Specifically, we propose the triplet contrast loss (TCL), a novel loss designed for KD. During the KD process, the TCL loss transfers the local structure, exploits the higher order information, and mitigates the misalignment of the heterogeneous output of teacher and student networks. Compared with other losses for KD, the proposed TCL loss selectively transfers the local discriminative features from teacher to student, making it effective in the ReID. Besides the TCL loss, we adopt mutual learning to regularize both the teacher and student networks training. Extensive experiments demonstrate the effectiveness of our method on the MARS, DukeMTMC-VideoReID and VeRi-776 benchmarks.
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