Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing
Authors: Sheng Jin, Qin Zhou, Hongxun Yao, Yao Liu, Xian-Sheng Hua1717-1724
AAAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Extensive experiments conducted on two public benchmarks demonstrate the favorable performance of our method over the state-of-the-arts. |
| Researcher Affiliation | Collaboration | 1The Harbin Institute of Technology, 2Alibaba DAMO Academy, Alibaba Group |
| Pseudocode | Yes | Algorithm 1 Asychronous Teacher-guided Bit-wise Hard Mining for Online Hashing (ATHOH) |
| Open Source Code | No | The paper does not include any statement or link providing access to open-source code for the described methodology. |
| Open Datasets | Yes | CIFAR-10 (Krizhevsky and Hinton 2009) contains 60K 32 32 images in 10 classes. We randomly select 1000 images to form the test set and 20K instances from the rest images to form a train set. The rest images are used as the database. NUS-WIDE (Chua et al. 2009) contains nearly 270k images with 81 classes. For NUS-WIDE, we follow (Weng and Zhu 2020) to use the images associated with the 21 most frequent concepts as the subset. We randomly select 2000 images as the test set and the remaining images are used as the training set and the database. |
| Dataset Splits | No | The paper specifies train and test sets but does not explicitly mention a separate validation set split or how such a split would be performed. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware used for running experiments. |
| Software Dependencies | No | The paper does not mention any specific software dependencies with version numbers. |
| Experiment Setup | Yes | The interval size ni is 200. The learning rates η is 0.2 and the parameters λ to balance informatic semantic loss and global knowledge distillation loss is 0.1, which is discussed in the Supplementary. |