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Found 5 papers, 2 papers with code
RMFA-Net: A Neural ISP for Real RAW to RGB Image Reconstruction
It is demonstrated that RMFA-Net outperforms previous algorithms, achieving a PSNR score of over 25 dB, surpassing the state-of-the-art by +1 dB.
UA-Track: Uncertainty-Aware End-to-End 3D Multi-Object Tracking
Secondly, we propose an Uncertainty-guided Query Denoising strategy to further enhance the training process.
DuBox: No-Prior Box Objection Detection via Residual Dual Scale Detectors
Working with multi-scale features, the designed dual scale residual unit makes dual scale detectors no longer run independently.
Shape Robust Text Detection with Progressive Scale Expansion Network
Due to the fact that there are large geometrical margins among the minimal scale kernels, our method is effective to split the close text instances, making it easier to use segmentation-based methods to detect arbitrary-shaped text instances.
Ranked #12 on
Scene Text Detection
on SCUT-CTW1500
Shape Robust Text Detection with Progressive Scale Expansion Network
To address these problems, we propose a novel Progressive Scale Expansion Network (PSENet), designed as a segmentation-based detector with multiple predictions for each text instance.
Ranked #12 on
Scene Text Detection
on ICDAR 2017 MLT
