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Found 5 papers, 4 papers with code
High-Order-Interaction for weakly supervised Fine-Grained Visual Categorization
Of those, methods based on bilinear pooling are one of the main categories for computing the interaction between deep features and have shown high effectiveness.
Ranked #1 on
Fine-Grained Image Recognition
on CUB Birds
Fine-Grained Image Classification
Fine-Grained Image Recognition
+3
AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing
To achieve fast and accurate CS reconstruction, we synthesize the advantages of two well-known methods (neural network and optimization algorithm) to propose a novel optimization inspired neural network which dubbed AMP-Net.
Ranked #1 on
Compressive Sensing
on BSDS100 - 2x upscaling
ECG Beats Fast Classification Base on Sparse Dictionaries
In VQ method, a set of dictionaries corresponding to segments of ECG beats is trained, and VQ codes are used to represent each heartbeat.
ECG beats classification via online sparse dictionary and time pyramid matching
Recently, the Bag-Of-Word (BOW) algorithm provides efficient features and promotes the accuracy of the ECG classification system.
MC-ISTA-Net: Adaptive Measurement and Initialization and Channel Attention Optimization inspired Neural Network for Compressive Sensing
The optimization inspired network can bridge convex optimization and neural networks in Compressive Sensing (CS) reconstruction of natural image, like ISTA-Net+, which mapping optimization algorithm: iterative shrinkage-thresholding algorithm (ISTA) into network.
