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Peng Tu

2 accepted papers

2023

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs

ICCV 2023poster

Efficient detectors for edge devices are often optimized for parameters or speed count metrics, which remain in weak correlation with the energy of detectors. However, some vision applications of convolutional neural networks, such as always-on surveillance cameras, are critical for energy constra…

Cited by 14PDFcodeScholar
2022

GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference

AAAI 2022technical

Semi-supervised learning is a challenging problem which aims to construct a model by learning from limited labeled examples. Numerous methods for this task focus on utilizing the predictions of unlabeled instances consistency alone to regularize networks. However, treating labeled and unlabeled data…

Cited by 26SourcePDFScholar