R-FCN

Region-based Fully Convolutional Network

Computer VisionIntroduced 200032 papers

Description

Region-based Fully Convolutional Networks, or R-FCNs, are a type of region-based object detector. In contrast to previous region-based object detectors such as Fast/Faster R-CNN that apply a costly per-region subnetwork hundreds of times, R-FCN is fully convolutional with almost all computation shared on the entire image.

To achieve this, R-FCN utilises position-sensitive score maps to address a dilemma between translation-invariance in image classification and translation-variance in object detection.

Papers Using This Method

PatchNet -- Short-range Template Matching for Efficient Video Processing2021-03-10ABOShips -- An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations2021-02-11TensorFlow with user friendly Graphical Framework for object detection API2020-06-11DFR-TSD: A Deep Learning Based Framework for Robust Traffic Sign Detection Under Challenging Weather Conditions2020-06-03KL-Divergence-Based Region Proposal Network for Object Detection2020-05-22On the safety of vulnerable road users by cyclist orientation detection using Deep Learning2020-04-25To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?2019-09-22Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes2019-08-14Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations2019-06-01Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint2019-04-26Large-scale mammography CAD with Deformable Conv-Nets2019-02-19A Comparison of Embedded Deep Learning Methods for Person Detection2018-12-09Fast Object Detection in Compressed Video2018-11-27Satellite Imagery Multiscale Rapid Detection with Windowed Networks2018-09-25Global Weighted Average Pooling Bridges Pixel-level Localization and Image-level Classification2018-09-21DetNet: Design Backbone for Object Detection2018-09-01Overhead Detection: Beyond 8-bits and RGB2018-08-07The EuroCity Persons Dataset: A Novel Benchmark for Object Detection2018-05-18Quantization Mimic: Towards Very Tiny CNN for Object Detection2018-05-06Sliding Line Point Regression for Shape Robust Scene Text Detection2018-01-30