20 citations · 35 across the 5 of their papers we have counts for
5 papers
Small Object Detection for Birds with Swin Transformer
Da Huo, Marc A. Kastner, Tingwei Liu +4
Object detection is the task of detecting objects in an image. In this task, the detection of small objects is particularly difficult. Other than the small size, it is also accompa…
Investigating Conceptual Blending of a Diffusion Model for Improving Nonword-to-Image Generation
Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu +2
Text-to-image diffusion models sometimes depict blended concepts in the generated images. One promising use case of this effect would be the nonword-to-image generation task which…
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi +19
Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object detection for distant objects and (ii) SOD is a ch…
IPA-CLIP: Integrating Phonetic Priors into Vision and Language Pretraining
Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu +4
Recently, large-scale Vision and Language (V\&L) pretraining has become the standard backbone of many multimedia systems. While it has shown remarkable performance even in unseen s…
Reproducibility Companion Paper: Describing Subjective Experiment Consistency by -Value P-P Plot
Jakub Nawała, Lucjan Janowski, Bogdan Ćmiel +3
In this paper we reproduce experimental results presented in our earlier work titled "Describing Subjective Experiment Consistency by -Value P-P Plot" that was presented in the…