Essays about: "CLIP"
Showing result 1 - 5 of 53 essays containing the word CLIP.
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1. Structural analysis of HZO thin film and electrode using X-ray diffraction
University essay from Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionenAbstract : Since its discovery in 2011, the ferroelectricity of thin films based on HfO2 has been studied intensively. In particular, thin films with a 1:1 ratio of HfO2 and ZrO2 (HZO) has been of great interest. The ferroelectricity arises from a non-centrosymmetric orthorhombic (o) phase of HZO whose prevalence is dependent on the processing conditions. READ MORE
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2. Learning Embeddings for Fashion Images
University essay from Linköpings universitet/DatorseendeAbstract : Today the process of sorting second-hand clothes and textiles is mostly manual. In this master’s thesis, methods for automating this process as well as improving the manual sorting process have been investigated. READ MORE
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3. Quantum Espionage
University essay from KTH/Tillämpad fysikAbstract : This thesis investigates the security of optical fiber communication and demonstrates the feasibility of eavesdropping using different tapping methods and superconducting nanowire single-photon detectors (SNSPDs). Methods for surveillance against fiber intrusion are also investigated. READ MORE
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4. Anomaly Detection with Machine Learning using CLIP in a Video Surveillance Context
University essay from Linköpings universitet/DatorseendeAbstract : This thesis explores the application of Contrastive Language-Image Pre-Training (CLIP), a vision-language model, in an automated video surveillance system for anomaly detection. The ability of CLIP to perform zero-shot learning, coupled with its robustness against minor image alterations due to its lack of reliance on pixel-level image analysis, makes it a suitable candidate for this application. READ MORE
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5. Efficient Utilization of Video Embeddings from Video-Language Models
University essay from Linköpings universitet/DatorseendeAbstract : In the digital age where video content is abundant, this thesis investigates the efficient adaptation of an existing video-language model (VLM) to new data. The research leverages CLIP, a robust language-vision model, for various video-related tasks including video retrieval. READ MORE