spatial resolution
In the context of AI, especially in computer vision, spatial resolution refers to the level of detail present in a digital image or a representation. Higher spatial resolution means more detail and clarity, allowing models to better identify and classify objects within images.
- CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems
- Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution
- FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution
- FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution
- HMVLM:Human Motion-Vision-Language Model via MoE LoRA
- JAFAR: Jack up Any Feature at Any Resolution
- NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals
- SmokeViz: A Large-Scale Satellite Dataset for Wildfire Smoke Detection and Segmentation
- Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation