Object Detection on Pascal VOC (mAP@50) benchmark leaderboard · SOTA2 Research

Object Detection on Pascal VOC (mAP@50)

74.5mAP@50GSAL

Evaluation Results

Method	Links
GSAL2026.04		74.5
GSAL2026.04		71.8
GSAL2026.04		71.1
Core-set2026.04		70
NORIS2026.04		69.8
CLIP-only2026.04		69.5
NORIS2026.04		69.2
Entropy2026.04		69
PPAL2026.04		68.9
PPAL2026.04		68.4
MIAOD2026.04		67.8
GSAL2026.04		67.6
MIAOD2026.04		67.1
Random2026.04		67
BADGE2026.04		66.7
BADGE2026.04		66.2
NORIS2026.04		65.9
Core-set2026.04		65.5
Core-set2026.04		65
PPAL2026.04		64.8
Entropy2026.04		63.8
MIAOD2026.04		63.6
Entropy2026.04		63.1
GSAL2026.04		63
BADGE2026.04		62.5
NORIS2026.04		61.7
Core-set2026.04		61.4
PPAL2026.04		60.8
MIAOD2026.04		59.8
Entropy2026.04		59.7
GSAL2026.04		59.3
BADGE2026.04		58.7
NORIS2026.04		57.8
Core-set2026.04		57.5
PPAL2026.04		56.9
Entropy2026.04		55.9
MIAOD2026.04		55.7
BADGE2026.04		54.8
GSAL2026.04		54.1
Core-set2026.04		53.7
NORIS2026.04		52.7
Entropy2026.04		51.8
PPAL2026.04		51.8
MIAOD2026.04		50.7
GSAL2026.04		50
BADGE2026.04		49.8
Core-set2026.04		48.9
NORIS2026.04		48.5
PPAL2026.04		48
Entropy2026.04		47.6
MIAOD2026.04		47.5
BADGE2026.04		47
Core-set2026.04		46
Entropy2026.04		45