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Found 9 papers, 8 papers with code
CUCL: Codebook for Unsupervised Continual Learning
To address this issue, after analyzing the phenomenon and identifying the lack of diversity as a vital factor, we propose a method named Codebook for Unsupervised Continual Learning (CUCL) which promotes the model to learn discriminative features to complete the class boundary.
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
In this paper, we propose a novel Prototype-based Aleatoric Uncertainty Quantification (PAU) framework to provide trustworthy predictions by quantifying the uncertainty arisen from the inherent data ambiguity.
Ranked #16 on
Video Retrieval
on MSVD
A Lower Bound of Hash Codes' Performance
By testing on a series of hash-models, we obtain performance improvements among all of them, with an up to $26. 5\%$ increase in mean Average Precision and an up to $20. 5\%$ increase in accuracy.
Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression
Modeling latent variables with priors and hyperpriors is an essential problem in variational image compression.
Fast Gradient Non-sign Methods
Based on the linearity hypothesis, under $\ell_\infty$ constraint, $sign$ operation applied to the gradients is a good choice for generating perturbations.
Revisiting Multi-Codebook Quantization
However, finding the optimal solution to MCQ is proved to be NP-hard due to its encoding process, \textit{i. e.}, converting an input vector to a binary code.
Staircase Sign Method for Boosting Adversarial Attacks
Crafting adversarial examples for the transfer-based attack is challenging and remains a research hot spot.
Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval
In this work, we propose a deep progressive quantization (DPQ) model, as an alternative to PQ, for large scale image retrieval.
Deep Recurrent Quantization for Generating Sequential Binary Codes
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.
