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Found 6 papers, 1 papers with code
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning
This approach generates discriminative classes, effectively classifying both seen and unseen classes.
An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning
Recent works proposed different semantic autoencoder (SAE) models where the encoder embeds a visual feature vector space into the semantic space and the decoder reconstructs the original visual feature space.
A Survey on Image Aesthetic Assessment
Automatic image aesthetics assessment is a computer vision problem dealing with categorizing images into different aesthetic levels.
Anomalous entities detection using a cascade of deep learning models
Patches extracted from each key point are utilized in the second stage to build a densely connected deep convolutional neural network model for detecting anomalous entities.
Kalman Filter Based Multiple Person Head Tracking
For multi-target tracking, target representation plays a crucial rule in performance.
A survey of advances in vision-based vehicle re-identification
This paper reviews different V-reID methods including sensor based methods, hybrid methods, and vision based methods which are further categorized into hand-crafted feature based methods and deep feature based methods.
