28 citations · 32 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 28 cited
Unleashing the Power of Generic Segmentation Models: A Simple Baseline for Infrared Small Target Detection
Mingjin Zhang, Chi Zhang, Qiming Zhang +3
Recent advancements in deep learning have greatly advanced the field of infrared small object detection (IRSTD). Despite their remarkable success, a notable gap persists between th…
cs.CV2024★ 4 cited
IRSAM: Advancing Segment Anything Model for Infrared Small Target Detection
Mingjin Zhang, Yuchun Wang, Jie Guo +3
The recent Segment Anything Model (SAM) is a significant advancement in natural image segmentation, exhibiting potent zero-shot performance suitable for various downstream image se…