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Unified-modal Salient Object Detection via Adaptive Prompt Learning
Existing single-modal and multi-modal salient object detection (SOD) methods focus on designing specific architectures tailored for their respective tasks.
RecycleGPT: An Autoregressive Language Model with Recyclable Module
Existing large language models have to run K times to generate a sequence of K tokens.
Erasure-based Interaction Network for RGBT Video Object Detection and A Unified Benchmark
Recently, many breakthroughs are made in the field of Video Object Detection (VOD), but the performance is still limited due to the imaging limitations of RGB sensors in adverse illumination conditions.
A CT-Based Airway Segmentation Using U$^2$-net Trained by the Dice Loss Function
Airway segmentation from chest computed tomography scans has played an essential role in the pulmonary disease diagnosis.
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