notesum.ai

Published at November 25

Leverage Task Context for Object Affordance Ranking

cs.CV

Released Date: November 25, 2024

Authors: Haojie Huang¹, Hongchen Luo², Wei Zhai¹, Yang Cao³, Zheng-Jun Zha¹

Aff.: ¹University of Science and Technology of China; ²Northeastern University; ³University of Science and Technology of China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center

Arxiv: http://arxiv.org/abs/2411.16082v1

Methods	SSOR	SA-SOR	mAP@50	ARI	Task-acc	Task-recall
SOR [11]	$0.497{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 34.2\%}$	$0.321{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 71.3\%}$	$24.6{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 63.4\%}$	$0.359{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 112.5\%}$	$84.7{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 10.7\%}$	$78.1{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 16.0\%}$
IRSR [24]	$0.526{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 26.8\%}$	$0.414{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 32.9\%}$	$25.0{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 60.8\%}$	$0.452{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 68.8\%}$	$83.2{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 12.7\%}$	$74.1{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 22.2\%}$
QAGNet [8]	$0.509{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 31.0\%}$	$0.406{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 35.5\%}$	$23.1{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 74.0\%}$	$0.414{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 84.3\%}$	$90.1{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 4.1\%}$	$82.3{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 10.0\%}$
MDetr [18]	$0.483{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 38.1\%}$	$0.509{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 8.1\%}$	$29.6{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 35.8\%}$	$0.394{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 93.7\%}$	$83.3{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 12.6\%}$	$70.7{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 28.1\%}$
OVDetr [63]	$0.461{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 44.7\%}$	$0.307{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 79.1\%}$	$33.5{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 20.0\%}$	$0.297{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 156.9\%}$	$89.1.{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 5.3\%}$	$66.5{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 36.2\%}$
OpenSeeD [65]	$0.525{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 27.0\%}$	$0.437{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 25.9\%}$	$36.9{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 8.9\%}$	$0.487{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 56.7\%}$	$91.5{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 2.5\%}$	$84.9{\color[rgb]{0.91,0.33,0.5}\scriptstyle~{}\diamond 6.7\%}$
Ours	$\bm{0.667}_{\pm 0.013}$	$\bm{0.550}_{\pm 0.03}$	$\bm{40.2}_{\pm 0.2}$	$\bm{0.763}_{\pm 0.016}$	$\bm{93.8}_{\pm 0.2}$	$\bm{90.6}_{\pm 0.1}$