HyperAI초신경

Scene Graph Generation On Visual Genome

평가 지표

Recall@100
Recall@20
Recall@50

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표
모델 이름Recall@100Recall@20Recall@50
tackling-the-challenges-in-scene-graph31.422.228.2
panoptic-scene-graph-generation-with--23.0
graph-r-cnn-for-scene-graph-generation--11.4
unbiased-scene-graph-generation-from-biased--31.93
nodis-neural-ordinary-differential-scene-21.627.7
fine-grained-scene-graph-generation-with-data27.2-23.5
recovering-the-unbiased-scene-graphs-from-the--25.4
expressive-scene-graph-generation-using---
groupwise-query-specialization-and-quality35.5-32.1
learning-to-compose-dynamic-tree-structures--27.9
gps-net-graph-property-sensing-network-for--28.9
knowledge-embedded-routing-network-for-scene--27.1
groupwise-query-specialization-and-quality36.0-32.9
biasing-like-human-a-cognitive-bias-framework---
cogtree-cognition-tree-loss-for-unbiased---
energy-based-learning-for-scene-graph--31.74
scene-graph-generation-from-objects-phrases--10.72
knowzrel-common-sense-knowledge-based-zero---
neusyre-neuro-symbolic-visual-understanding---