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SOTA
重叠 100-10
Overlapped 100 10 On Ade20K
Overlapped 100 10 On Ade20K
评估指标
Mean IoU (test)
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Mean IoU (test)
Paper Title
MBS
44.5
Mitigating Background Shift in Class-Incremental Semantic Segmentation
SATS-M
35.45
SATS: Self-Attention Transfer for Continual Semantic Segmentation
MiB+AWT
33.2
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
RCNet-101
32.1
Representation Compensation Networks for Continual Semantic Segmentation
PLOP
31.59
PLOP: Learning without Forgetting for Continual Semantic Segmentation
MiB
29.24
PLOP: Learning without Forgetting for Continual Semantic Segmentation
0 of 6 row(s) selected.
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HyperAI
HyperAI超神经
首页
算力平台
文档
资讯
论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
服务条款
隐私政策
中文
HyperAI
HyperAI超神经
Toggle Sidebar
全站搜索…
⌘
K
Command Palette
Search for a command to run...
算力平台
首页
SOTA
重叠 100-10
Overlapped 100 10 On Ade20K
Overlapped 100 10 On Ade20K
评估指标
Mean IoU (test)
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Mean IoU (test)
Paper Title
MBS
44.5
Mitigating Background Shift in Class-Incremental Semantic Segmentation
SATS-M
35.45
SATS: Self-Attention Transfer for Continual Semantic Segmentation
MiB+AWT
33.2
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
RCNet-101
32.1
Representation Compensation Networks for Continual Semantic Segmentation
PLOP
31.59
PLOP: Learning without Forgetting for Continual Semantic Segmentation
MiB
29.24
PLOP: Learning without Forgetting for Continual Semantic Segmentation
0 of 6 row(s) selected.
Previous
Next
Overlapped 100 10 On Ade20K | SOTA | HyperAI超神经