Situation Recognition on imSitu

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Top-1 Verb

Rank	Model	Top-1 Verb	Top-1 Verb & Value	Top-5 Verbs	Top-5 Verbs & Value	Paper	Code	Year
1	Ours	58.88	–	–	–	Dynamic Scene Understanding from Vision-Language Representations		2025
2	ClipSitu	47.23	29.73	85.69	68.42	ClipSitu: Effectively Leveraging CLIP for Conditional Predictions in Situation Recognition	LUNAProject22/CLIPSitu	2023
3	CoFormer	44.66	35.98	73.31	57.76	Collaborative Transformers for Grounded Situation Recognition	towhee-io/towhee · jhcho99/coformer · ruipingl/opensu	2022
4	SituFormer	44.2	35.24	71.21	55.75	Rethinking the Two-Stage Framework for Grounded Situation Recognition	kellyiss/situformer	2021
5	Kernel GraphNet	43.27	35.41	68.72	55.62	Mixture-Kernel Graph Attention Network for Situation Recognition		2019
6	GSRTR	40.63	32.15	69.81	54.13	Grounded Situation Recognition with Transformers	jhcho99/gsrtr	2021
7	JSL	39.94	31.44	67.6	51.88	Grounded Situation Recognition	allenai/swig	2020
8	ISL	39.36	30.09	65.51	50.16	Grounded Situation Recognition	allenai/swig	2020
9	CAQ + RE-VGG	38.19	30.23	65.05	50.21	Attention-Based Context Aware Reasoning for Situation Recognition	thilinicooray/context-aware-reasoning-for-sr	2020
10	GraphNet	36.72	27.52	61.90	45.39	Situation Recognition with Graph Neural Networks	thilinicooray/context-aware-reasoning-for-sr	2017
11	RNN + Fusion	35.9	27.45	63.08	46.88	Recurrent Models for Situation Recognition		2017
12	CRF + Aug	34.12	26.45	62.59	46.88	Commonly Uncommon: Semantic Sparsity in Situation Recognition	my89/imSitu · thilinicooray/my_imsitu	2016
13	CRF	32.34	24.64	58.88	42.76	Situation Recognition: Visual Semantic Role Labeling for Image Understanding	my89/imSitu	2016