eX-ViT: A Novel explainable vision transformer for weakly supervised semantic segmentation

Author:

Yu Lu,Xiang WeiORCID,Fang Juan,Chen Yi-Ping Phoebe,Chi Lianhua

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. Multi-class token transformer for weakly supervised semantic segmentation;Xu,2022

2. An image is worth 16x16 words: transformers for image recognition at scale;Dosovitskiy,2020

3. Learning affinity from attention: end-to-end weakly-supervised semantic segmentation with transformers;Ru,2022

4. Self-supervised image-specific prototype exploration for weakly supervised semantic segmentation;Chen,2022

5. Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI;Arrieta;Inf. Fusion,2020

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