Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization
Authors: Li Yuan, Francis EH Tay, Ping Li, Li Zhou, Jiashi Feng9143-9150
AAAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments on two video summarization benchmark datasets validate the state-of-the-art performance and superiority of the Cycle-SUM model over previous baselines. |
| Researcher Affiliation | Academia | 1National University of Singapore 2Hangzhou Dianzi University {ylustcnus,zhouli2025}@gmail.com, {mpetayeh,elefjia}@nus.edu.sg, lpcs@hdu.edu.cn |
| Pseudocode | Yes | Algorithm 1 Training Cycle-SUM model |
| Open Source Code | No | The paper does not contain an unambiguous statement or direct link indicating that the source code for the methodology described is publicly available. |
| Open Datasets | Yes | We evaluate Cycle-SUM on two benchmark datasets: Sum Me (Gygli et al. 2014) and TVSum (Song et al. 2015). |
| Dataset Splits | No | All experiments are conducted for five times on five random splits and we report the average performance. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., exact GPU/CPU models, processor types with speeds, memory amounts, or detailed computer specifications) used for running its experiments. |
| Software Dependencies | No | The paper mentions using a 'Goog Le Net network', 'LSTM', 'VAE', 'GAN', and 'WGAN' architectures, but does not provide specific version numbers for any software libraries, frameworks, or programming languages used. |
| Experiment Setup | Yes | The selector is a Bi-LSTM network consisting of three layers, each with 300 hidden units. The two generators are implemented by variational auto-encoder LSTM... The two discriminators are LSTM networks... The clipping parameter c in this training falls in [ 0.5, 0.5]. The typical value for the generator iteration per discriminator iteration n is 2 5. |