HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval
Authors: Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King
AAAI 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments on benchmarks show that our proposed method outperforms state-of-the-art baselines. |
| Researcher Affiliation | Academia | Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King The Chinese University of Hong Kong {zxqiu22, jhliu22, ykchen, king}@cse.cuhk.edu.hk |
| Pseudocode | No | The paper does not contain any pseudocode or explicitly labeled algorithm blocks. |
| Open Source Code | No | The paper does not include an unambiguous statement about releasing source code for the methodology described, nor does it provide a direct link to a code repository. |
| Open Datasets | Yes | The proposed method is evaluated using Flickr25K (Huiskes and Lew 2008), NUS-WIDE (Chua et al. 2009), as well as two experimental protocols CIFAR10 (I) and CIFAR-10 (II) both of which are based on CIFAR-10 (Krizhevsky, Hinton et al. 2009). |
| Dataset Splits | No | The paper mentions using CIFAR-10, Flickr25K, and NUS-WIDE datasets but does not explicitly state the specific training, validation, and test splits (percentages, counts, or specific predefined split references) used for the experiments. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., GPU/CPU models, memory) used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details, such as library names with version numbers, needed to replicate the experiment. |
| Experiment Setup | Yes | The pre-defined hierarchies for different datasets are: [50, 20] on Flickr25K; [200, 100, 50] on CIFAR-10 (I); [100, 50, 25] on CIFAR-10 (II); [200, 100, 75] on NUSWIDE. Please refer to the supplementary material for more implementation details. |