Unverified50% confidenceFactExact time
Grad-CAM由佐治亚理工学院研究团队于2017年提出，利用目标类别对最后一层卷积特征图的梯度信息生成热力图，显示模型关注的图像区域
1
Sources
50%
Confidence
Long-term
Relevance
7/8/2026
First Seen
Sources
Related Claims
UnverifiedGrok 4.5 completes endpoint training on the basis of data cleaning and high-quality filtering combined with reinforcement learning, in order to improve long-term reasoning ability in real engineering projects.59% similarUnverified学术界发展出G-Eval、MT-Bench、HELM等评测方法，核心思路是将评测分解为多个维度的加权评分56% similarUnverified火焰图（Flame Graph）由Brendan Gregg发明，将调用栈采样数据可视化为矩形堆叠图，已成为标准性能诊断工具52% similarUnverified目标检测传统上由 YOLO、Faster R-CNN、DETR 等专用架构主导，通过专用检测头回归边界框坐标与类别概率52% similarUnverified2014年R-CNN开创了基于区域提议的两阶段检测范式52% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/293637API
curl https://kongchang.com/api/v1/knowledge/claims/293637MCP
get_claim(id=293637)