Hours before, Putin announced a military operation in the Donbas region of eastern Ukraine, which contains the separatist-held regions of Donetsk and Luhansk which Moscow recognized as independent on Monday -- in violation of international law. In the address, broadcast live on Russian national television, Putin urged Ukrainian forces to lay down their arms and go home, saying all responsibility for possible bloodshed will be entirely on the conscience of the Ukrainian government. Before the announcement of military action, Zelensky appealed for peace but vowed the country would defend itself. Ukrainian President said, in a speech in Russian and directed at Russian citizens."When you attack, you will see our faces and not our spines, our faces. US President Joe Biden issued a statement saying Russia had launched "an unprovoked. President Putin has chosen a premeditated war that will bring a catastrophic loss of life and human suffering," he said. "Russia alone is responsible for the death and destruction this attack will bring, and the United States and its Allies and partners will respond in a united and decisive way. The Russian Armed Forces are not launching any missile or artillery strikes on the cities of Ukraine. This is a grave emergency. POSTSUBSCRIPT is from a different person, denoted as the negative sample. POSTSUBSCRIPT ) represent features of the three videos from the teacher network. POSTSUBSCRIPT, the smoother the output. POSTSUBSCRIPT is a first-order distillation loss. It makes the student keep its predictions consistent with the teacher. Pairwise Distance in Embedding. B denotes the batch size. POSTSUBSCRIPT loss is a second order loss which encourages the student to mirror the pairwise distances spanned by the teacher. Triplet Contrast Loss for Discriminative Transfer. The two abovementioned distillation losses mainly target to address the representation learning (global matching), but neglect the transfer of discrimination ability (local structure). For Re-ID tasks, the disrcriminative feature learning is more important as the labels between the training set and testing set are different. In order to address this in the context of I2V Re-ID, we propose a third order distillation loss, the triplet contrast loss (TCL), inspired by the vanilla triplet loss. In vanilla triplet loss (Eq.
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