Score-CAM
PulseAugur coverage of Score-CAM — every cluster mentioning Score-CAM across labs, papers, and developer communities, ranked by signal.
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Researchers propose new metrics to evaluate AI explainability methods
Researchers have developed a new method to evaluate explainability techniques for Convolutional Neural Networks (CNNs), addressing the lack of robust metrics beyond Intersection over Union (IoU). The study proposes usin…
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一种基于图增强知识蒸馏的双流视觉Transformer结合区域感知注意力用于胃肠道疾病分类及可解释AI
研究人员开发了一种新颖的双流深度学习框架，用于从医学影像中对胃肠道疾病进行分类。该系统采用教师-学生知识蒸馏方法，结合了用于全局上下文的Swin Transformer和用于细粒度特征的Vision Transformer。学生网络是一个紧凑的Tiny-ViT，在数据集1上达到了0.9978的高准确率，在数据集2上达到了0.9928，AUC为1.0000，同时还提供了更快的推理速度和更低的计算复杂度。可解释性分析证实了该模型依赖于临床…
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New deepfake detection methods tackle attribution and real-world degradations
Researchers have developed a new framework to improve deepfake detection robustness against real-world image degradations. Their approach integrates an extreme compound degradation engine with a multi-stream architectur…