Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in [1].
LinkNet: Relational Embedding for Scene Graph
Authors: Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon
NeurIPS 2018 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We validate our final model, Link Net, through extensive ablation studies, demonstrating its efficacy in scene graph generation. |
| Researcher Affiliation | Academia | Sanghyun Woo* EE, KAIST Daejeon, Korea EMAIL Dahun Kim* EE, KAIST Daejeon, Korea EMAIL Donghyeon Cho EE, KAIST Daejeon, Korea EMAIL In So Kweon EE, KAIST Daejeon, Korea EMAIL |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. It describes the model architecture and mathematical formulations. |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described in this paper. |
| Open Datasets | Yes | We conduct experiments on Visual Genome benchmark [16]. |
| Dataset Splits | No | The paper mentions using the Visual Genome benchmark but does not explicitly provide the training/test/validation dataset splits or reference a specific standard split with enough detail within the paper itself. |
| Hardware Specification | No | The paper does not provide specific hardware details (exact GPU/CPU models, processor types, or memory amounts) used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details, such as library or solver names with version numbers, needed to replicate the experiment. |
| Experiment Setup | Yes | In practice, we found setting hyper-parameter r as 2 produces best result from our experiment. By default, we set λ1 and λ2 as 1, and thus all the terms are equally weighted. |