Graph Matching On Willow Object Class

matching accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Tableau comparatif

Nom du modèle	matching accuracy
deep-learning-of-graph-matching	0.7934
combinatorial-learning-of-robust-deep-graph	0.9006
graduated-assignment-for-joint-multi-graph	0.9906
graph-context-attention-networks-for-size	0.9700
deep-learning-of-partial-graph-matching-via	-
glmnet-graph-learning-matching-networks-for	0.924
gmtr-graph-matching-transformers	0.9813
adaptive-edge-attention-for-graph-matching	0.965
deep-graph-matching-under-quadratic	0.960
deep-graph-matching-under-quadratic	0.977
deep-learning-of-partial-graph-matching-via	-
neural-graph-matching-network-learning	0.8530
graph-matching-with-bi-level-noisy	0.9910
deep-learning-of-partial-graph-matching-via	-
learning-constrained-structured-spaces-with	0.987
learning-constrained-structured-spaces-with	0.981
gamnet-robust-feature-matching-via-graph	0.9662
neural-graph-matching-network-learning	0.9754
cross-modal-retrieval-with-noisy	0.988
hypergraph-neural-networks-for-hypergraph	0.968
deep-learning-of-partial-graph-matching-via	-
universe-points-representation-learning-for	0.989
deep-graph-matching-via-blackbox	0.9718