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Semi Supervised Object Detection On Coco 100

Métriques

mAP

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	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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