Summary of An Analysis Of Hoi: Using a Training-free Method with Multimodal Visual Foundation Models When Only the Test Set Is Available, Without the Training Set, by Chaoyi Ai
An analysis of HOI: using a training-free method with multimodal visual foundation models when only the test set is available, without the training set
by Chaoyi Ai
First submitted to arxiv on: 11 Aug 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper investigates Human-Object Interaction (HOI) in images, focusing on identifying human-object pairs and their relationships. HOI performance is typically saturated under default settings, prompting research into long-tail distribution and zero-shot/few-shot scenarios. This study diverges from the norm by exploring a novel problem: utilizing multimodal visual foundation models without training data. Two experimental settings are employed to analyze this concept: grounding truth and random arbitrary combinations. The results reveal that the open vocabulary capabilities of the multimodal visual foundation model have not yet been fully leveraged, and replacing feature extraction with grounding DINO further supports these findings. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper looks at how humans interact with objects in pictures, trying to figure out who is doing what with which thing. Usually, this task does well without extra help, but researchers are looking for new ways to make it better. This study takes a unique approach by using special visual models that can learn from data without being trained beforehand. The scientists test these models in two different ways and find that they have more potential than we thought. |
Keywords
» Artificial intelligence » Feature extraction » Few shot » Grounding » Prompting » Zero shot
