1 research outputs found
PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection
We introduce a novel single-shot object detector to ease the imbalance of
foreground-background class by suppressing the easy negatives while increasing
the positives. To achieve this, we propose an Anchor Promotion Module (APM)
which predicts the probability of each anchor as positive and adjusts their
initial locations and shapes to promote both the quality and quantity of
positive anchors. In addition, we design an efficient Feature Alignment Module
(FAM) to extract aligned features for fitting the promoted anchors with the
help of both the location and shape transformation information from the APM. We
assemble the two proposed modules to the backbone of VGG-16 and ResNet-101
network with an encoder-decoder architecture. Extensive experiments on MS COCO
well demonstrate our model performs competitively with alternative methods
(40.0\% mAP on \textit{test-dev} set) and runs faster (28.6 \textit{fps}).Comment: Submitted to a conference, under revie