standard benchmarks
Widely accepted datasets and tasks used to evaluate and compare the performance of AI models, providing a common ground for assessment.
- AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models
- Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening
- MV-CoLight: Efficient Object Compositing with Consistent Lighting and Shadow Generation
- NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods
- Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
- SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes
- Spike-RetinexFormer: Rethinking Low-light Image Enhancement with Spiking Neural Networks