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SOTA
Video Polyp Segmentation
Video Polyp Segmentation On Sun Seg Easy
Video Polyp Segmentation On Sun Seg Easy
评估指标
Dice
S measure
Sensitivity
mean E-measure
mean F-measure
weighted F-measure
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
Dice
S measure
Sensitivity
mean E-measure
mean F-measure
weighted F-measure
Paper Title
Repository
PNSNet
0.676
0.767
0.574
0.744
0.664
0.616
Progressively Normalized Self-Attention Network for Video Polyp Segmentation
YOLO-SAM 2
0.90
0.9
83.7
93.8
93.8
-
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model
FSNet
0.702
0.725
0.493
0.695
0.630
0.551
Full-Duplex Strategy for Video Object Segmentation
ACSNet
0.713
0.782
0.601
0.779
0.688
0.642
-
-
UNet
-
-
0.420
-
-
-
U-Net: Convolutional Networks for Biomedical Image Segmentation
LGRNet
0.853
-
-
-
-
-
LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
-
DCF
0.325
0.523
0.340
0.514
0.312
0.270
Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection
-
COSNet
0.596
0.654
0.359
0.600
0.496
0.431
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks
PNS+
0.756
0.806
0.630
0.798
0.730
0.676
Video Polyp Segmentation: A Deep Learning Perspective
MAT
0.710
0.770
0.542
0.737
0.641
0.575
MATNet: Motion-Attentive Transition Network for Zero-Shot Video Object Segmentation
AutoSAM
0.753
0.815
0.672
0.855
0.774
0.716
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder
-
SANet
0.649
0.720
0.521
0.745
0.634
0.566
Shallow Attention Network for Polyp Segmentation
PCSA
0.592
0.680
0.398
0.660
0.519
0.451
-
-
UNet++
-
-
0.457
-
-
-
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
PraNet
0.621
0.733
0.524
0.753
0.632
0.572
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
2/3D
0.722
0.786
0.603
0.777
0.708
0.652
-
-
AMD
0.266
0.474
0.222
0.533
0.146
0.133
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos
SALI
0.825
0.870
0.811
0.920
0.831
0.794
SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation
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