# SaccadeNet: A Fast and Accurate Object Detector

Source: [SaccadeNet: A Fast and Accurate Object Detector](<https://www.sota2.com/research/paper/68fa67431e209131cea1554b>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-01-04T04:08:45.852Z

Authors: Shiyi Lan, Zhou Ren, Yi Wu, Larry S. Davis, Gang Hua

Published: 2020-03-26T19:47:17.000Z

## Abstract

Object detection is an essential step towards holistic scene understanding. Most existing object detection algorithms attend to certain object areas once and then predict the object locations. However, neuroscientists have revealed that humans do not look at the scene in fixed steadiness. Instead, human eyes move around, locating informative parts to understand the object location. This active perceiving movement process is called \\textit{saccade}.   %In this paper, Inspired by such mechanism, we propose a fast and accurate object detector called \\textit{SaccadeNet}. It contains four main modules, the \\cenam, the \\coram, the \\atm, and the \\aggatt, which allows it to attend to different informative object keypoints, and predict object locations from coarse to fine. The \\coram~is used only during training to extract more informative corner features which brings free-lunch performance boost. On the MS COCO dataset, we achieve the performance of 40.4\\% mAP at 28 FPS and 30.5\\% mAP at 118 FPS. Among all the real-time object detectors, %that can run faster than 25 FPS, our SaccadeNet achieves the best detection performance, which demonstrates the effectiveness of the proposed detection mechanism.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Object Detection on MS COCO (test-dev)](<https://www.sota2.com/research/sota/object-detection-on-ms-coco-test-dev.md>): Object Detection; MS COCO (test-dev); mAP@.5: 57.6.

- [Object Detection on COCO 2017 (val)](<https://www.sota2.com/research/sota/object-detection-on-coco-2017-val.md>): Object Detection; COCO 2017 (val); AP: 32.5.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2003.12125>)

[PDF](<https://arxiv.org/pdf/2003.12125.pdf>)