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Chapter and Conference Paper
CCF-Net: A Cascade Center-Based Framework Towards Efficient Human Parts Detection
Human parts detection has made remarkable progress due to the development of deep convolutional networks. However, many SOTA detection methods require large computational cost and are still difficult to be dep...
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Chapter and Conference Paper
Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays
Accurate abnormality localization in chest X-rays (CXR) can benefit the clinical diagnosis of various thoracic diseases. However, the lesion-level annotation can only be performed by experienced radiologists, ...
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Chapter and Conference Paper
Backbone Based Feature Enhancement for Object Detection
FPN (Feature Pyramid Networks) and many of its variants have been widely used in state of the art object detectors and made remarkable progress in detection performance. However, almost all the architectures o...