4 papers
When Does High-CFG Diffusion Inversion Fail? A Controlled Study of Prompt--Latent Interactions
Yan Zeng, Yusuke Hosoya, Huyen T. T. Tran +1
Text-guided diffusion inversion is central to image editing, where an image is mapped to an initial latent and then edited by replaying the denoising process under a modified promp…
Rethinking Open-Set Object Detection: Issues, a New Formulation, and Taxonomy
Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani
Open-set object detection (OSOD), a task involving the detection of unknown objects while accurately detecting known objects, has recently gained attention. However, we identify a…
Rethinking Annotation for Object Detection: Is Annotating Small-size Instances Worth Its Cost?
Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani
Detecting objects occupying only small areas in an image is difficult, even for humans. Therefore, annotating small-size object instances is hard and thus costly. This study questi…
Open-vocabulary vs. Closed-set: Best Practice for Few-shot Object Detection Considering Text Describability
Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani
Open-vocabulary object detection (OVD), detecting specific classes of objects using only their linguistic descriptions (e.g., class names) without any image samples, has garnered s…