A Causal Debiasing Framework for Unsupervised Salient Object Detection
Authors: Xiangru Lin, Ziyi Wu, Guanqi Chen, Guanbin Li, Yizhou Yu1610-1619
AAAI 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Extensive experiments on 6 benchmark datasets show that our method significantly outperforms previous unsupervised state-of-the-art methods and even surpasses some of the supervised methods, demonstrating our debiasing framework s effectiveness. |
| Researcher Affiliation | Collaboration | 1Sun Yat-sen University 2The University of Hong Kong 3Deepwise AI Lab |
| Pseudocode | No | The paper includes mathematical equations and descriptions of methods but no clearly labeled 'Pseudocode' or 'Algorithm' blocks. |
| Open Source Code | No | The paper does not provide any specific links or explicit statements about the availability of open-source code for the described methodology. |
| Open Datasets | Yes | to make fair comparisons with previous state-of-the-art method (Nguyen et al. 2019) trained on MSRAB (Liu et al. 2007) dataset... to make fair comparisons with previous state-of-the-art method (Zhang, Xie, and Barnes 2020) trained on DUTS (Wang et al. 2017) dataset |
| Dataset Splits | No | The paper mentions 'training set' and 'test set' but does not explicitly specify how the data was split into training, validation, and test sets, nor does it provide details on a dedicated validation set for hyperparameter tuning. |
| Hardware Specification | No | The paper does not provide specific details about the hardware (e.g., GPU/CPU models, memory) used for running the experiments. |
| Software Dependencies | No | The paper does not list specific software dependencies with their version numbers (e.g., Python 3.x, PyTorch 1.x). |
| Experiment Setup | Yes | α is a blending parameter set to 0.7. ... γ is a temperature parameter set to 1.5. ... β2 is set to 0.3 as in the standard evaluation metric. ... κ is set to 10 as in (Qin et al. 2019; Zhang, Xie, and Barnes 2020; Zhang et al. 2020b). ... T is a temperature parameter set to 1.5. |