Glass Segmentation on RGB-T dataset Images without glass 1.0 (test) benchmark leaderboard · SOTA2 Research

Glass Segmentation on RGB-T dataset Images without glass 1.0 (test)

0.003MAERGB-T Glass Segmentation Network

Evaluation Results

Method
RGB-T Glass Segmentation Network2022.04	0.003	0.9973	0.08
CMX2022.04	0.004	0.997	0.06
RGB-T Glass Segmentation Network2022.04	0.016	0.9842	0.11
ShapeConv2022.04	0.019	0.9824	0.41
HDFNet2022.04	0.019	0.9849	0.59
CLNet2022.04	0.021	0.9803	0.14
VST2022.04	0.026	0.9747	0.15
UCNet2022.04	0.028	0.9724	0.14
ESANet2022.04	0.03	0.977	0.25
EBS2022.04	0.031	0.9697	0.21
SPNet2022.04	0.035	0.9668	0.4
DCFNet2022.04	0.036	0.9645	0.21
RD3D2022.04	0.037	0.9713	0.26
DANet2022.04	0.045	0.9636	0.36
Segformer2022.04	0.063	0.9372	0.34
HAINet2022.04	0.069	0.9444	0.48
UTA2022.04	0.069	0.93	0.23
MCNet2022.04	0.118	0.8951	0.6
EBLNet2022.04	0.129	0.8867	0.72
RGB-T Glass Segmentation Network2022.04	0.136	0.8668	0.55
RTFNet2022.04	0.188	0.8369	0.89
ATSA2022.04	0.276	0.7357	1
DPANet2022.04	0.291	0.8356	0.9
Segmenter2022.04	0.303	0.9206	0.31
FRDT2022.04	0.313	0.6949	0.96
SSF2022.04	0.356	0.6447	0.96
Zhang et al.2022.04	0.488	0.5157	1
CoNet2022.04	0.533	0.4683	1