COCO-20i

The 'COCO-20i' dataset is a benchmark that contains a subset of images from the COCO dataset, specifically designed to evaluate open-vocabulary semantic segmentation tasks.

Papers using COCO-20i (5)

Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation2025Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models2022 · 10 citesFew-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models2024 · 2 citesUniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks2023 · 1 citesAFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation2024