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Semi Supervised Object Detection On Coco 100

Metrics

mAP

Results

Performance results of various models on this benchmark

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

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Semi Supervised Object Detection On Coco 100 | SOTA | HyperAI