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Panoptic Segmentation on COCO 2017

0.514PQ

Full-tuning

Updated 3d ago

Evaluation Results

Method	Links
Full-tuning 2026.02		0.514	0.815	0.619
Full-tuning 2026.02		0.51	0.809	0.614
AdaRoute 2026.02		0.504	0.812	0.607
Full-tuning 2026.02		0.503	0.813	0.606
AdaRoute 2026.02		0.502	0.813	0.605
Full-tuning 2026.02		0.502	0.812	0.605
Mona 2026.02		0.497	0.807	0.602
Mona 2026.02		0.495	0.809	0.597
CoLoRA 2026.02		0.493	0.805	0.596
RepAdapter 2026.02		0.492	0.807	0.596
AdaRoute 2026.02		0.489	0.81	0.591
AdaRoute 2026.02		0.488	0.808	0.59
AdaptFormer 2026.02		0.488	0.799	0.592
Mona 2026.02		0.483	0.801	0.585
Mona 2026.02		0.481	0.799	0.583
RepAdapter 2026.02		0.479	0.799	0.581
LoRA 2026.02		0.478	0.802	0.578
RepAdapter 2026.02		0.478	0.799	0.579
LoRand 2026.02		0.477	0.803	0.58
CoLoRA 2026.02		0.476	0.796	0.579
SNELL 2026.02		0.472	0.794	0.576
AdaptFormer 2026.02		0.472	0.796	0.573
AdaptFormer 2026.02		0.471	0.794	0.574
RepAdapter 2026.02		0.471	0.797	0.572
SNELL 2026.02		0.469	0.792	0.571
LoRand 2026.02		0.468	0.794	0.569
VPT 2026.02		0.466	0.791	0.57
LoRA 2026.02		0.466	0.794	0.571
AdaptFormer 2026.02		0.466	0.788	0.567
LoRand 2026.02		0.464	0.793	0.567
SNELL 2026.02		0.46	0.792	0.564
LoRA 2026.02		0.46	0.789	0.56
LoRand 2026.02		0.459	0.786	0.56
SNELL 2026.02		0.455	0.789	0.555
LoRA 2026.02		0.453	0.785	0.557
VPT 2026.02		0.451	0.786	0.554