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20172026
most citedA Genetic Programming Approach to Designing Convolutional Neural Network Architectures

60 citations · 144 across the 31 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.RO2024

RP-SLAM: Real-time Photorealistic SLAM with Efficient 3D Gaussian Splatting

Lizhi Bai, Chunqi Tian, Jun Yang +3

3D Gaussian Splatting has emerged as a promising technique for high-quality 3D rendering, leading to increasing interest in integrating 3DGS into realism SLAM systems. However, exi…

cs.CV2024

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…

cs.CV2024

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images

Xiangyong Lu, Masanori Suganuma, Takayuki Okatani

In real-world applications of image recognition tasks, such as human pose estimation, cameras often capture objects, like human bodies, at low resolutions. This scenario poses a ch…

cs.CV2024

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…

cs.CV2024

An Improved Method for Personalizing Diffusion Models

Yan Zeng, Masanori Suganuma, Takayuki Okatani

Diffusion models have demonstrated impressive image generation capabilities. Personalized approaches, such as textual inversion and Dreambooth, enhance model individualization usin…