… anchor-point detectors having the speed advantage. In this work, we boost the performance
of the anchor-point detector … this, we formulate the detection problem from the anchor point’s …

… , ie soft-weighted anchor points and soft-selected pyramid levels. To evaluate the effectiveness,
we train a single-stage anchor-free detector called Soft Anchor-Point Detector (SAPD). …

… We propose an anchor-free object detector that … Soft Anchor Point Detector to address the
object detection problem in a pixel-wise paradigm. The current mainstream object detection …

… Then, we add the 3D center-ness as a soft point mask to the Lsa_cls loss: … ], we represent
each object with its corresponding anchor point, and then use a lightweight tracking head to …

… , it uses Softmax to determine whether the anchor point is the foreground or background. …
Bodla, et al, "Soft-NMS--improving object detection with one line of code," in Proceedings of …

… soft anchor-point object detection (SAPD) [20] belong to this type. MetaAnchor directly weights
the generated anchors, while SAPD leverages both soft-weighted anchor points and soft-…

… Then, the corresponding left and right ROI proposals are output according to the predicted
position of anchor point and the shape of anchor box. Secondly, a multi-level anchor scheme …

… effective sample strategy to learn object detector. Specially, we … better in terms of training an
object detector. The green thick … The points represent the anchor point that can be the center …

… of the object frame to the object center for object detection. … [20], which draws on FCOS,
placing an anchor point on each … paper, in which, S represents soft pool layers, D represents …

… If an anchor point falls into the object region, this point is assigned as a positive sample and
… assignment and soft anchor assignment between different object detectors in theoretical …