Google DeepMind introduces TIPSv2 to address a key weakness in AI vision models poor localization of fine details despite strong global image understanding The new method enhances zero shot segmentation by 141 points via full area supervision reduces training parameters by 42 and uses multi granularity text descriptions The model sets new benchmarks in segmentation and outperforms larger models in retrieval and classification Code and weights are open sourced