arXiv:2209.03578
Sign Language Detection
원문 초록
With the advancements in Computer vision techniques the need to classify images based on its features have become a huge task and necessity. In this project we proposed 2 models i.e. feature extraction and classification using ORB and SVM and the second is using CNN architecture. The end result of the project is to understand the concept behind feature extraction and image classification. The trained CNN model will also be used to convert it to tflite format for Android Development.
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Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating
GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models
Optimal Weighted Convolution for Classification and Denosing
Adversarial attacks to image classification systems using evolutionary algorithms
Disentangled representations of microscopy images
토론
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