HyperAI超神经

首页资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

HyperAI超神经

Semi Supervised Object Detection On Coco 100

评估指标

mAP

评测结果

各个模型在此基准测试上的表现结果

模型名称	mAP	Paper Title	Repository
Revisiting Class Imbalance	44.0	Revisiting Class Imbalance for End-to-end Semi-Supervised Object Detection	-
Semi-DETR	50.5	Semi-DETR: Semi-Supervised Object Detection with Detection Transformers	-
MixPL	55.2	Mixed Pseudo Labels for Semi-Supervised Object Detection	-
MUM	42.11	MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection	-
STAC	39.2	A Simple Semi-Supervised Learning Framework for Object Detection	-
PseCo	46.1	PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection	-
Consistent-Teacher	48.20	Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection	-
UNBIASED TEACHER	41.3	Unbiased Teacher for Semi-Supervised Object Detection	-
RPL	43.3	Rethinking Pseudo Labels for Semi-Supervised Object Detection	-
Instant-Teaching	40.2	Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework	-
Adaptive Class-Rebalancing	42.79	Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training	-
Soft Teacher	44.9	End-to-End Semi-Supervised Object Detection with Soft Teacher	-
Dense Teacher	46.2	Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection	-

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