Essays about: "image encoders"

Showing result 1 - 5 of 11 essays containing the words image encoders.

1. 1. Image encoding evaluation in remote desktop systems : A framework for measuring the encoding performance inTigerVNC

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Adam Halim; [2023]
   Keywords : VNC; TigerVNC; RFB; Remote desktop; Image encoding; Compression; X; X11; Performance evaluation;

   Abstract : Remote desktop solutions have widespread adoption across the world, allowing people to connect to a computer remotely from anywhere in the world. One widely used solution is TigerVNC which uses the RFB protocol for communication between a client and server. READ MORE

3. 2. Reducing the computational complexity of a CNN-based neural network used for partitioning in VVC compliant encoders

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Saman Rassam; [2022]
   Keywords : Video Coding; VVC; Block Partitioning; VTM; ANN; CNN; Videkodning; VVC; Blockpartitionering; VTM; ANN; CNN;

   Abstract : Block partitioning is a computationally heavy step in the video coding process. Previously, this stage has been done using a full-search-esque algorithm. READ MORE

4. 3. Attribute Embedding for Variational Auto-Encoders : Regularization derived from triplet loss

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Anton E. L. Dahlin; [2022]
   Keywords : Variational Auto-Encoder; Triplet Loss; Contrastive Loss; Generative Models; Metric Learning; Latent Space; Attribute Manipulation; Variationsautokodare; Triplettförlust; Kontrastiv Förlust; Generativa Modeller; Metrisk Inlärning; Latent Utrymme; Attributmanipulation;

   Abstract : Techniques for imposing a structure on the latent space of neural networks have seen much development in recent years. Clustering techniques used for classification have been used to great success, and with this work we hope to bridge the gap between contrastive losses and Generative models. READ MORE

5. 4. Impact of model architecture and data distribution on self-supervised federated learning

   University essay from Lunds universitet/Matematik LTH

   Author : Karin Bergdahl; [2022]
   Keywords : machine learning; federated learning; self-supervised learning; Technology and Engineering;

   Abstract : Data is a crucial resource for machine learning. But in many settings, such as in healthcare or on mobile devices, there are obstacles that make it difficult to utilize the available data. This data is often distributed between many clients and private, meaning that central storage of the data is inadvisable. READ MORE

6. 5. Matching Sticky Notes Using Latent Representations

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Javier García San Vicent; [2022]
   Keywords : Pattern matching; Image matching; Image recognition; Representation learning; Unsupervised learning; Semisupervised learning; Siamese architecture; Deep learning; Transfer learning; Mönstermatchning; Bildmatchning; Bildigenkänning; Representationsinlärning; Oövervakat lärande; Halvövervakat lärande; Siamesisk arkitektur; Djup lärning; Överfört lärande;

   Abstract : his project addresses the issue of accurately identifying repeated images of sticky notes. Due to environmental conditions and the 3D location of the camera, different pictures taken of sticky notes may look distinct enough to be hard to determine if they belong to the same note. READ MORE