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Found 4 papers, 0 papers with code
Condensation-Net: Memory-Efficient Network Architecture with Cross-Channel Pooling Layers and Virtual Feature Maps
"Lightweight convolutional neural networks" is an important research topic in the field of embedded vision.
Ranked #1 on
Face Detection
on FDDB
(Accuracy metric)
IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision
Furthermore, based on YOLOv2, we design IFQ-Tinier-YOLO face detector which is a fixed-point network with 256x reduction in model size (246k Bytes) than Tiny-YOLO.
Ranked #10 on
Face Detection
on FDDB
DupNet: Towards Very Tiny Quantized CNN with Improved Accuracy for Face Detection
Firstly, we employ weights with duplicated channels for the weight-intensive layers to reduce the model size.
Ranked #1 on
Face Detection
on WIDER Face
(GFLOPs metric)
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation
Despite the recent works on knowledge distillation (KD) have achieved a further improvement through elaborately modeling the decision boundary as the posterior knowledge, their performance is still dependent on the hypothesis that the target network has a powerful capacity (representation ability).
Ranked #182 on
Image Classification
on CIFAR-10
(using extra training data)
