Search Results for author:
Found 2 papers, 0 papers with code
Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors
In this paper, we tackle HOI detection with the weakest supervision setting in the literature, using only image-level interaction labels, with the help of a pretrained vision-language model (VLM) and a large language model (LLM).
Learning Better Visual Representations for Weakly-Supervised Object Detection Using Natural Language Supervision
We present a framework to better leverage natural language supervision for a specific downstream task, namely weakly-supervised object detection (WSOD).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
