most cited[CLS] Token is All You Need for Zero-Shot Semantic Segmentation

2 citations · 3 across the 2 of their papers we have counts for

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cs.CV2023★ 1 cited

VDD: Varied Drone Dataset for Semantic Segmentation

Wenxiao Cai, Ke Jin, Jinyan Hou +3

Semantic segmentation of drone images is critical for various aerial vision tasks as it provides essential semantic details to understand scenes on the ground. Ensuring high accura…

cs.CV2023★ 2 cited

[CLS] Token is All You Need for Zero-Shot Semantic Segmentation

Letian Wu, Wenyao Zhang, Tengping Jiang +3

In this paper, we propose an embarrassingly simple yet highly effective zero-shot semantic segmentation (ZS3) method, based on the pre-trained vision-language model CLIP. First, ou…