3 papers
cs.CV2025
On the Suitability of Reinforcement Fine-Tuning to Visual Tasks
Xiaxu Chen, Wei Li, Chunxu Liu +5
Reinforcement Fine-Tuning (RFT) is proved to be greatly valuable for enhancing the reasoning ability of LLMs. Researchers have been starting to apply RFT to MLLMs, hoping it will a…
cs.CV2025
On the Robustness of Human-Object Interaction Detection against Distribution Shift
Chi Xie, Shuang Liang, Jie Li +4
Human-Object Interaction (HOI) detection has seen substantial advances in recent years. However, existing works focus on the standard setting with ideal images and natural distribu…
cs.CV2025
SORCE: Small Object Retrieval in Complex Environments
Chunxu Liu, Chi Xie, Xiaxu Chen +4
Text-to-Image Retrieval (T2IR) is a highly valuable task that aims to match a given textual query to images in a gallery. Existing benchmarks primarily focus on textual queries des…