ClearCLIP: decomposing CLIP representations for dense vision-language inference

ClearCLIP: decomposing CLIP representations for dense vision-language inference

Despite the success of large-scale pretrained Vision-Language Models (VLMs) especially CLIP in various open-vocabulary tasks, their application to semantic segmentation remains challenging, producing noisy segmentation maps with mis-segmented regions. In this paper, we carefully re-investigate th...

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Bibliographic Details
Main Authors: Lan, Mengcheng, Chen, Chaofeng, Ke, Yiping, Wang, Xinjiang, Feng, Litong, Zhang, Wayne
Other Authors: College of Computing and Data Science
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Computer and Information Science
Semantic segmentation
Vision language model
Online Access:https://hdl.handle.net/10356/180251
http://arxiv.org/abs/2407.12442v1

Internet

https://hdl.handle.net/10356/180251
http://arxiv.org/abs/2407.12442v1

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