Scope Head for Accurate Localizationin Object Detection

05/11/2020
by   Geng Zhan, et al.
6

Existing anchor-based and anchor-free object detectors in multi-stage or one-stage pipelines have achieved very promising detection performance. However, they still encounter the design difficulty in hand-crafted 2D anchor definition and the learning complexity in 1D direct location regression. To tackle these issues, in this paper, we propose a novel detector coined as ScopeNet, which models anchors of each location as a mutually dependent relationship. This approach quantises the prediction space and employs a coarse-to-fine strategy for localisation. It achieves superior flexibility as in the regression based anchor-free methods, while produces more precise prediction. Besides, an inherit anchor selection score is learned to indicate the localisation quality of the detection result, and we propose to better represent the confidence of a detection box by combining the category-classification score and the anchor-selection score. With our concise and effective design, the proposed ScopeNet achieves state-of-the-art results on COCO

READ FULL TEXT
research
05/11/2020

Scope Head for Accurate Localization in Object Detection

Existing anchor-based and anchor-free object detectors in multi-stage or...
research
11/27/2019

Soft Anchor-Point Object Detection

Recently, anchor-free detectors have shown great potential to outperform...
research
12/16/2021

Toward Minimal Misalignment at Minimal Cost in One-Stage and Anchor-Free Object Detection

Common object detection models consist of classification and regression ...
research
08/18/2023

Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning

The past few years have witnessed the immense success of object detectio...
research
12/12/2022

Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector

Mitotic activity is key for the assessment of malignancy in many tumors....
research
07/14/2022

AIParsing: Anchor-free Instance-level Human Parsing

Most state-of-the-art instance-level human parsing models adopt two-stag...
research
06/28/2020

Localization Uncertainty Estimation for Anchor-Free Object Detection

Since many safety-critical systems such as surgical robots and autonomou...

Please sign up or login with your details

Forgot password? Click here to reset