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Image-Goal Navigation research benchmarks · SOTA2 Research

Image-Goal Navigation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

83.77Success Rate

32

Jun 30, 2026

100Success Rate

25

Jun 23, 2026

94.2Success Rate

22

Feb 26, 2026

88Success Rate

20

Jun 23, 2026

93.1Succ (Average)

17

Apr 8, 2026

80Success Rate

16

Apr 21, 2026

Gibson (Straight-Easy)

98.5Success Rate

13

Apr 21, 2026

Gibson Curved trajectories (unseen)

72.5Succ (Easy)

12

Feb 26, 2026

Gibson Straight trajectories (unseen)

85.3Success Rate (Easy)

10

Feb 26, 2026

Gibson unseen (test)

68.7Success Rate (SR)

8

Jun 30, 2026

94SR

8

Apr 21, 2026

Real-world Complex environment

MINav (Extended, 2h)

85SR (%)

8

Mar 30, 2026

Real-world Standard environment

MINav (Extended, 2h)

88Success Rate

8

Mar 30, 2026

Real-world Simple environment

MINav (Extended, 2h)

100Success Rate (SR)

8

Mar 30, 2026

HM3D Instance ImageNav (test)

60.8SR

8

Feb 26, 2026

70.2Success Rate (SR)

7

Feb 26, 2026

Image-Goal Navigation

One-Step World Model

72.67SR

7

Feb 26, 2026

Gibson (14 held-out scenes)

73.9Success Rate

7

Feb 26, 2026

Gibson (Curved-Hard)

12.5Success Rate

7

Feb 26, 2026

Gibson Curved-Medium

23.9Success Rate

7

Feb 26, 2026

Gibson Curved-Easy

35.5Success Rate

7

Feb 26, 2026

Gibson Straight-Hard

25.19Success Rate

7

Feb 26, 2026

Gibson (Straight-Medium)

49.1Success Rate

7

Feb 26, 2026

MP3D Curved (Hard)

10Succ

7

Feb 26, 2026

MP3D Curved (Medium)

16.2Success Rate

7

Feb 26, 2026

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