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3D Lighter: Learning to Generate Emissive Textures
We present a novel approach to generate emissive textures for luminous objects, using direct 3D supervision from a 3D model dataset. To …
Yosuke Shinya, Kenichi Yoneji, Akihiro Tsukada, Tatsuya Harada
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BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection Evaluation
Scale-wise evaluation of object detectors is important for real-world applications. However, existing metrics are either coarse or not …
Yosuke Shinya
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MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object …
Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi, Hao-Yu Hou, Mu-Yi Shen, Chia-Chi Hsu, En-Ming Huang, Yu-Chen Huang, Yu-Cheng Xia, Chien-Yao Wang, Chun-Yi Lee, Da Huo, Marc A. Kastner, Tingwei Liu, Yasutomo Kawanishi, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide, Yosuke Shinya, Xinyao Liu, Guang Liang, Syusuke Yasui
Cite arXiv Project Code IEEE
USB: Universal-Scale Object Detection Benchmark
Benchmarks, such as COCO, play a crucial role in object detection. However, existing benchmarks are insufficient in scale variation, …
Yosuke Shinya
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Domain Adaptation Regularization for Spectral Pruning
Deep Neural Networks (DNNs) have recently been achieving state-of-the-art performance on a variety of computer vision related tasks. …
Laurent Dillard, Yosuke Shinya, Taiji Suzuki
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Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
ImageNet pre-training has been regarded as essential for training accurate object detectors for a long time. Recently, it has been …
Yosuke Shinya, Edgar Simo-Serra, Taiji Suzuki
PDF Cite arXiv Slides IEEE CVF
Contrastive Relevance Propagation for Interpreting Predictions by a Single-Shot Object Detector
Object detection is a widely-used computer vision task, in which we identify a bounding box around each object in an image and classify …
Hideomi Tsunakawa, Yoshitaka Kameya, Hanju Lee, Yosuke Shinya, Naoki Mitsumoto
PDF Cite Slides IEEE
Modeling the Stone Floor Based on Excavation Information Using Implicit Polynomial
High-quality modeling method is required for the virtual reconstruction of ruins using mixed reality. Stone floor is one of the …
Yoshihiro Sato, Yosuke Shinya, Bo Zheng, Takeshi Oishi, Katsushi Ikeuchi
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