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- Peking UniversityCN36 papers
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61 papers · 1 filter
Picking Up Quantization Steps for Compressed Image Classification
Li Ma, Peixi Peng, Guangyao Chen +3
The sensitivity of deep neural networks to compressed images hinders their usage in many real applications, which means classification networks may fail just after taking a screens…
PSLT: A Light-weight Vision Transformer with Ladder Self-Attention and Progressive Shift
Gaojie Wu, Wei-Shi Zheng, Yutong Lu +1
Vision Transformer (ViT) has shown great potential for various visual tasks due to its ability to model long-range dependency. However, ViT requires a large amount of computing res…
A Dataset with Multibeam Forward-Looking Sonar for Underwater Object Detection
Kaibing Xie, Jian Yang, Kang Qiu
Multibeam forward-looking sonar (MFLS) plays an important role in underwater detection. There are several challenges to the research on underwater object detection with MFLS. First…
Synthetic Data Supervised Salient Object Detection
Zhenyu Wu, Lin Wang, Wei Wang +4
Although deep salient object detection (SOD) has achieved remarkable progress, deep SOD models are extremely data-hungry, requiring large-scale pixel-wise annotations to deliver su…
Salient Object Detection via Dynamic Scale Routing
Zhenyu Wu, Shuai Li, Chenglizhao Chen +2
Recent research advances in salient object detection (SOD) could largely be attributed to ever-stronger multi-scale feature representation empowered by the deep learning technologi…
CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object Detection
Runmin Cong, Qinwei Lin, Chen Zhang +4
Focusing on the issue of how to effectively capture and utilize cross-modality information in RGB-D salient object detection (SOD) task, we present a convolutional neural network (…