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SotA/Computer Vision/Grounded Situation Recognition/SWiG

Grounded Situation Recognition on SWiG

Metric: Top-1 Verb & Value (higher is better)

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#Model↕Top-1 Verb & Value▼Extra DataPaperDate↕Code
1Ours (CoFormer+)51.1NoDynamic Scene Understanding from Vision-Language...2025-01-20-
2ClipSitu47.23NoClipSitu: Effectively Leveraging CLIP for Condit...2023-07-02Code
3CoFormer35.98NoCollaborative Transformers for Grounded Situatio...2022-03-30Code
4Kernel GraphNet35.41No---
5SituFormer35.24NoRethinking the Two-Stage Framework for Grounded ...2021-12-10Code
6GSRTR32.15NoGrounded Situation Recognition with Transformers2021-11-19Code
7JSL31.44NoGrounded Situation Recognition2020-03-26Code
8CAQ + RE-VGG30.23No--Code
9ISL30.09NoGrounded Situation Recognition2020-03-26Code
10GraphNet27.52NoSituation Recognition with Graph Neural Networks2017-08-14Code
11RNN + Fusion27.45NoRecurrent Models for Situation Recognition2017-03-18-
12CRF + Aug26.45NoCommonly Uncommon: Semantic Sparsity in Situatio...2016-12-03Code
13CRF24.64No--Code