5 papers
Label-Noise Resistant Learning via Optimal Brain Damage Masking
Xinlei Zhang, Fan Liu, Chuanyi Zhang +6
Noisy labels are inevitable in real-world multimedia applications. Due to the strong memorization capacity of deep neural networks, these noisy labels cause significant performance…
RemoteZero: Geospatial Reasoning with Zero Labels
Liang Yao, Fan Liu, Shengxiang Xu +4
Geospatial reasoning requires models to identify image regions that satisfy complex and often implicit user intents. Recent reinforcement learning approaches improve reasoning with…
Disentangle Object and Non-object Infrared Features via Language Guidance
Fan Liu, Ting Wu, Chuanyi Zhang +3
Infrared object detection focuses on identifying and locating objects in complex environments (\eg, dark, snow, and rain) where visible imaging cameras are disabled by poor illumin…
RemoteSAM: Towards Segment Anything for Earth Observation
Liang Yao, Fan Liu, Delong Chen +6
We aim to develop a robust yet flexible visual foundation model for Earth observation. It should possess strong capabilities in recognizing and localizing diverse visual targets wh…
Chain-of-Talkers (CoTalk): Fast Human Annotation of Dense Image Captions
Yijun Shen, Delong Chen, Fan Liu +4
While densely annotated image captions significantly facilitate the learning of robust vision-language alignment, methodologies for systematically optimizing human annotation effor…