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Ji-Jia Wu

2 accepted papers

2024

Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation

CVPR 2024poster

This paper addresses text-supervised semantic segmentation aiming to learn a model capable of segmenting arbitrary visual concepts within images by using only image-text pairs without dense annotations. Existing methods have demonstrated that contrastive learning on image-text pairs effectively alig…

2022

An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation

CVPR 2022poster

We address weakly supervised point cloud segmentation by proposing a new model, MIL-derived transformer, to mine additional supervisory signals. First, the transformer model is derived based on multiple instance learning (MIL) to explore pair-wise cloud-level supervision, where two clouds of the sam…

Cited by 61PDFScholar