Growing up as their father died, Kavin became interested in studying the law but left studies due to his lack of college ethics. Both of them were admitted into a mental institution as a result. Kavin was then taken in by his father but got into a violent fight with him and Ezhil. Kavin went with his mother, who used to gamble a lot, but wouldn't refuse anyone who asks her help, and one day tried to convince him that she'd give up gambling, but instead committed suicide. Kavin and Ezhil are revealed to be identical twins after their DNA is found identical, and both confess about the same they parted ways when their parents divorced. The two violently fight, hurting everyone and vandalizing the station in the process. The forensic expert informs Malarvizhi about a hair sample recovered from the crime scene and how it doesn't match anyone else in Akash's home.Īt the police station, Ezhil tries to escape but is interrupted by Kavin. Malarvizhi then learns of the rivalry between Ezhil and Gopalakrishnan Ezhil helped the latter's daughter elope with her lover, much against her father's wishes. She also questions Suruli and tells him not to leave the city without permission, but he secretly escapes. She reaches out to Akash's friend and shows him the photograph of Ezhil/Kavin, but he refuses to recognize him. SI Malarvizhi interrogates Kavin, who on the other hand, cites various laws to escape torture. Ezhil reveals his car broke down, and a call taxi driver helped him, as he didn't have the repair kit. Gopalakrishnan, inspector who shares an old rivalry with Ezhil, tortures him. However, as the investigation of Akash's murder proceeds, a selfie clicked by a couple nearby is found with either of Ezhil or Kavin in it.īoth Ezhil and Kavin are brought in and investigated without their knowledge of each other's existence. The next day, Kavin frees Suruli by paying his debt and wins Ananthi's trust by returning her money and telling her the truth. That night, one of them breaks into a house and attacks the owner Akash, stabbing him to death. After taking the money, Kavin is enraged, and so is Ezhil after a party. One day, Kavin tries to help Suruli pay his debt by extracting money from Ananthi through lies, but she helps him in spite of knowing the truth. Ezhil's love interest is an IT girl Deepika, while a girl named Ananthi, loves Kavin, unaware of his real identity. Plot Įzhil, is a civil engineer from IIT Madras, while his lookalike Kavin, is a gambling thief who deceives people along with his sidekick Suruli. It was commercially successful, becoming one of the highest-grossing films of the year in Tamil Nadu. Thadam was released theatrically on 1 March 2019, opening to critical acclaim with praise for Arun Vijay's performance and the writing. In the film, police officers try to solve a murder case involving lookalike suspects arrested on the basis of a pictorial evidence. It marks the Tamil debut of Tanya and the film debut of Smruthi. The music was composed by Arun Raj, with cinematography by Gopinath and editing by N. Produced by Inder Kumar, the film stars Arun Vijay in a double role along with Vidya Pradeep, Tanya Hope, and Smruthi Venkat. 'Trail') is a 2019 Indian Tamil-language crime thriller film written and directed by Magizh Thirumeni. Introduce in this paper based on CIFAR100.Thadam ( lit. We confirm these results on another few-shot dataset that we The resulting few-shot learning modelīased on the task-dependent scaled metric achieves state of the art on Practical end-to-end optimization procedure based on auxiliary task co-training Moreover, we propose and empirically test a Of conditioning a learner on the task sample set, resulting in learning a We further propose a simple and effective way Improvements up to 14% in accuracy for certain metrics on the mini-Imagenetĥ-way 5-shot classification task. The nature of few-shot algorithm parameter updates. Our analysis reveals that simple metric scaling completely changes Task conditioning are important to improve the performance of few-shotĪlgorithms. In this work, we identify that metric scaling and metric Oreshkin and Pau Rodriguez and Alexandre Lacoste Download PDF Abstract: Few-shot learning has become essential for producing models that generalizeįrom few examples. Download a PDF of the paper titled TADAM: Task dependent adaptive metric for improved few-shot learning, by Boris N.
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