Effective Anchor Adaptation and Feature Enhancement Strategies for Tiny Object Detection in Aerial Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3401397
Abstract: In recent years, research based on anchor-based two-stage detectors has achieved great performance improvements in aerial object detection tasks. However, they still have two significant problems in the detection of tiny objects: 1) The preset… read more here.
Keywords: anchor adaptation; enhancement strategies; object detection; feature enhancement ... See more keywords
Continuous Dropout
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2750679
Abstract: Dropout has been proven to be an effective algorithm for training robust deep networks because of its ability to prevent overfitting by avoiding the co-adaptation of feature detectors. Current explanations of dropout include bagging, naive… read more here.
Keywords: feature detectors; dropout; adaptation feature; continuous dropout ... See more keywords