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pro vyhledávání: '"Dalvi, Jash"'
Video anomaly detection aims to develop automated models capable of identifying abnormal events in surveillance videos. The benchmark setup for this task is extremely challenging due to: i) the limited size of the training sets, ii) weak supervision
Externí odkaz:
http://arxiv.org/abs/2406.02831
Face Recognition has proven to be one of the most successful technology and has impacted heterogeneous domains. Deep learning has proven to be the most successful at computer vision tasks because of its convolution-based architecture. Since the adven
Externí odkaz:
http://arxiv.org/abs/2201.02991
Autor:
Dalvi, Jash, Bohra, Aziz
The SARS-CoV2 virus has caused a lot of tribulation to the human population. Predictive modeling that can accurately determine whether a person is infected with COVID-19 is imperative. The study proposes a novel approach that utilizes deep feature ex
Externí odkaz:
http://arxiv.org/abs/2111.10762