1 citations · 2 across the 6 of their papers we have counts for
7 papers
Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples
Weiwei Li, Junzhuo Liu, Yuanyuan Ren +3
Deep learning models are known to often learn features that spuriously correlate with the class label during training but are irrelevant to the prediction task. Existing methods ty…
A Spatial Semantics and Continuity Perception Attention for Remote Sensing Water Body Change Detection
Quanqing Ma, Jiaen Chen, Peng Wang +3
Remote sensing Water Body Change Detection (WBCD) aims to detect water body surface changes from bi-temporal images of the same geographic area. Recently, the scarcity of high spat…
Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead
Yuxin Jing, Yuchen Zheng, Jufeng Zhao +2
Infrared small target detection(IRSTD) is widely recognized as a challenging task due to the inherent limitations of infrared imaging, including low signal-to-noise ratios, lack of…
Exploring State Space Model in Wavelet Domain: An Infrared and Visible Image Fusion Network via Wavelet Transform and State Space Model
Tianpei Zhang, Yiming Zhu, Jufeng Zhao +2
Deep learning techniques have revolutionized the infrared and visible image fusion (IVIF), showing remarkable efficacy on complex scenarios. However, current methods do not fully c…
LAM-YOLO: Drones-based Small Object Detection on Lighting-Occlusion Attention Mechanism YOLO
Yuchen Zheng, Yuxin Jing, Jufeng Zhao +1
Drone-based target detection presents inherent challenges, such as the high density and overlap of targets in drone-based images, as well as the blurriness of targets under varying…
Optimal Rejection Function Meets Character Recognition Tasks
Xiaotong Ji, Yuchen Zheng, Daiki Suehiro +1
In this paper, we propose an optimal rejection method for rejecting ambiguous samples by a rejection function. This rejection function is trained together with a classification fun…