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홈
SOTA
세마틱 세그멘테이션
Semantic Segmentation On Lars
Semantic Segmentation On Lars
평가 지표
F1
Q
mIoU
μ
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
F1
Q
mIoU
μ
Paper Title
TransMari (Mask2Former)
80.2
77.8
97.1
79.6
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024
SWIM^2 (Mask2Former)
79.9
78.1
97.8
79.7
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024
Mari-Mask2Former (Mask2Former)
77.3
75.7
97.8
78.4
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024
KNet (Swin-T)
73.4
71.3
97.2
78.8
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
SegFormer (MiT-B2)
70.0
67.8
96.8
78.6
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
DeepLabv3 (ResNet-101)
66.1
62.9
95.2
77.5
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
PointRend
65.4
62.1
94.9
77.5
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
STDC2
64.3
60.8
94.5
76.5
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
DeepLabv3+ (ResNet-101)
64.0
61.0
95.4
77.8
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
FCN (ResNet-101)
63.4
60.2
95.0
77.4
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
STDC1
61.8
57.8
93.6
75.6
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
WaSR (ResNet-101)
61.6
59.5
96.6
71.0
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
eWaSR
58.9
56.5
96.0
67.8
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024
FCN (ResNet-50)
57.9
53.6
92.6
76.8
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
Segmenter (ViT-B)
55.2
52.6
95.1
72.2
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
BiSeNetv2
54.7
51.2
93.5
73.9
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
WODIS (ResNet-101)
47.5
40.7
85.7
63.0
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
IntCatchAI
44.9
20.5
45.6
62.4
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
BiSeNetv1 (ResNet-50)
42.8
39.4
92.2
73.3
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
UNet
15.4
13.9
90.1
75.7
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
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