Simple image-level classification improves open-vocabulary object detection

• Main Authors: FANG, Ruohuan, PANG, Guansong, BAI, Xiao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Open-Vocabulary Object Detection (OVOD); Detection model; Novel objects; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/8744; https://ink.library.smu.edu.sg/context/sis_research/article/9747/viewcontent/27939_Article_Text_31993_1_2_20240324.pdf
• Institution: Singapore Management University

Open-Vocabulary Object Detection (OVOD) aims to detect novel objects beyond a given set of base categories on which the detection model is trained. Recent OVOD methods focus on adapting the image-level pre-trained vision-language models (VLMs), such as CLIP, to a region-level object detection task v...