Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
portes grátis
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
27th Iberoamerican Congress, CIARP 2024, Talca, Chile, November 26-29, 2024, Proceedings, Part I
Velastin, Sergio A.; Barrientos, Ricardo J.; Hernandez-Garcia, Ruber
Springer International Publishing AG
12/2024
266
Mole
9783031766060
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Towards a lightweight CNN for semantic food segmentation.- Ensemble approach to adaptable behavior cloning for a fighting game AI.- TeleoWatch PoseTransformer Based Advanced Action Recognition.- Fruit Deformity Classification through Single Input and Multi Input Architectures based on CNN Models using Real and Synthetic Images.- CNN sensitivity analysis for land cover map models using sparse and heterogeneous satellite data.- Video Game Joystick by Recognizing Breathing Patterns.- Recovering Latent Hierarchical Relationships in Image Datasets Through Hyperbolic Embeddings.- SwinDehazing Haze Removal using U Net and Swin Transformer.- A proposal for explainable fruit quality recognition using multimodal models.- Negative Sampling for Triplet Based Loss Improving Representation in Self Supervised Representation Learning.- Seed based superpixel re segmentation for improving object delineation.- Towards Interactive Video Segmentation by Dynamic and Iterative Spanning Forest.- Data Driven Evolutionary Algorithms for Optimizing Pumping Stations in Water Distribution Networks Classifier Guided Search Space Reduction.- Depth Map Completion using a Specific Graph Metric and Balanced Infinity Laplacian for Autonomous Vehicles.- Beta distribution approach for outlier exposure in multi class text classification.- Impact of Quantization on Large Language Models for Portuguese Classification Tasks.- GemBode and PhiBode Adapting Small Language Models to Brazilian Portuguese.- Hate Speech Detection in Portuguese Using BERTimbau.- An Effective Approach to Text Detection and Recognition in Degraded Historical Documents.
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artificial intelligence;computer vision;image analysis;natural language processing;neural networks;pattern recognition;deep learning;data mining;machine learning;biometrics
Towards a lightweight CNN for semantic food segmentation.- Ensemble approach to adaptable behavior cloning for a fighting game AI.- TeleoWatch PoseTransformer Based Advanced Action Recognition.- Fruit Deformity Classification through Single Input and Multi Input Architectures based on CNN Models using Real and Synthetic Images.- CNN sensitivity analysis for land cover map models using sparse and heterogeneous satellite data.- Video Game Joystick by Recognizing Breathing Patterns.- Recovering Latent Hierarchical Relationships in Image Datasets Through Hyperbolic Embeddings.- SwinDehazing Haze Removal using U Net and Swin Transformer.- A proposal for explainable fruit quality recognition using multimodal models.- Negative Sampling for Triplet Based Loss Improving Representation in Self Supervised Representation Learning.- Seed based superpixel re segmentation for improving object delineation.- Towards Interactive Video Segmentation by Dynamic and Iterative Spanning Forest.- Data Driven Evolutionary Algorithms for Optimizing Pumping Stations in Water Distribution Networks Classifier Guided Search Space Reduction.- Depth Map Completion using a Specific Graph Metric and Balanced Infinity Laplacian for Autonomous Vehicles.- Beta distribution approach for outlier exposure in multi class text classification.- Impact of Quantization on Large Language Models for Portuguese Classification Tasks.- GemBode and PhiBode Adapting Small Language Models to Brazilian Portuguese.- Hate Speech Detection in Portuguese Using BERTimbau.- An Effective Approach to Text Detection and Recognition in Degraded Historical Documents.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
