Instance Segmentation on MARIS (in-domain)
56.71mAPMARIS (vitl)
Evaluation Results
| Method | Links | |
|---|---|---|
| MARIS (vitl)Backbone=ConvNext-L, FLOPS=878G, Trainable Params.=23.09M, FPS=6.492025.10 | 56.71 | |
| MARIS (vitb)Backbone=ConvNext-L, FLOPS=522G, Trainable Params.=22.82M, FPS=8.202025.10 | 55.22 | |
| MARIS (vits)Backbone=ConvNext-L, FLOPS=416G, Trainable Params.=22.33M, FPS=8.852025.10 | 54.22 | |
| MAFT+Backbone=ConvNext-L, FLOPS=368G, Trainable Params.=223.22M, FPS=9.522025.10 | 53.41 | |
| MARIS (vitb)Backbone=ConvNext-B, FLOPS=365G, Trainable Params.=22.51M, FPS=9.902025.10 | 44.54 | |
| MARIS (vitl)Backbone=ConvNext-B, FLOPS=721G, Trainable Params.=22.77M, FPS=7.522025.10 | 44.37 | |
| MARIS (vits)Backbone=ConvNext-B, FLOPS=259G, Trainable Params.=22.12M, FPS=10.532025.10 | 42.36 | |
| MAFT+Backbone=ConvNext-B, FLOPS=210G, Trainable Params.=108.66M, FPS=12.202025.10 | 40.08 | |
| OVSegFLOPS=1.84T, Trainable Params.=408.55M2025.10 | 39.26 | |
| OVSegFLOPS=1.84T, Trainable Params.=408.55M2025.10 | 39.26 |