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Quantization

100 papers with code · Methodology

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Unsupervised Neural Quantization for Compressed-Domain Similarity Search

11 Aug 2019stanis-morozov/unq

We tackle the problem of unsupervised visual descriptors compression, which is a key ingredient of large-scale image retrieval systems.

IMAGE RETRIEVAL QUANTIZATION

3
11 Aug 2019

Light Multi-segment Activation for Model Compression

16 Jul 2019LMA-NeurIPS19/LMA

Inspired by the nature of the expressiveness ability in Neural Networks, we propose to use multi-segment activation, which can significantly improve the expressiveness ability with very little cost, in the compact student model.

MODEL COMPRESSION QUANTIZATION

1
16 Jul 2019

And the Bit Goes Down: Revisiting the Quantization of Neural Networks

12 Jul 2019facebookresearch/kill-the-bits

In this paper, we address the problem of reducing the memory footprint of ResNet-like convolutional network architectures.

OBJECT CLASSIFICATION QUANTIZATION

352
12 Jul 2019

Don't take it lightly: Phasing optical random projections with unknown operators

3 Jul 2019swing-research/opu_phase

A signal of interest $\mathbf{\xi} \in \mathbb{R}^N$ is mixed by a random scattering medium to compute the projection $\mathbf{y} = \mathbf{A} \mathbf{\xi}$, with $\mathbf{A} \in \mathbb{C}^{M \times N}$ being a realization of a standard complex Gaussian iid random matrix.

QUANTIZATION

0
03 Jul 2019

Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval

16 Jun 2019cfm-uestc/DPQ

In this work, we propose a deep progressive quantization (DPQ) model, as an alternative to PQ, for large scale image retrieval.

IMAGE RETRIEVAL QUANTIZATION

4
16 Jun 2019

Deep Recurrent Quantization for Generating Sequential Binary Codes

16 Jun 2019cfm-uestc/DRQ

To the end, when the model is trained, a sequence of binary codes can be generated and the code length can be easily controlled by adjusting the number of recurrent iterations.

IMAGE RETRIEVAL QUANTIZATION

0
16 Jun 2019

Deep Metric Learning to Rank

CVPR 2019 kunhe/FastAP-metric-learning

We propose a novel deep metric learning method by revisiting the learning to rank approach.

IMAGE RETRIEVAL LEARNING-TO-RANK METRIC LEARNING QUANTIZATION

18
01 Jun 2019

Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers

30 May 2019mrusci/training-mixed-precision-quantized-networks

To fit the memory and computational limitations of resource-constrained edge-devices, we exploit mixed low-bitwidth compression, featuring 8, 4 or 2-bit uniform quantization, and we model the inference graph with integer-only operations.

QUANTIZATION

2
30 May 2019

Quantization-Based Regularization for Autoencoders

27 May 2019AlbertOh90/Soft-VQ-VAE

We show that our proposed regularization method results in improved latent representations for both supervised learning and clustering downstream tasks when compared to autoencoders using other bottleneck structures.

DENOISING QUANTIZATION

2
27 May 2019

Additive Noise Annealing and Approximation Properties of Quantized Neural Networks

24 May 2019spallanzanimatteo/QuantLab

We present a theoretical and experimental investigation of the quantization problem for artificial neural networks.

IMAGE CLASSIFICATION QUANTIZATION

2
24 May 2019