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One-Shot Object Detection

7 papers with code · Computer Vision
Subtask of Object Detection

( Image credit: Siamese Mask R-CNN )

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One-Shot Instance Segmentation

28 Nov 2018bethgelab/siamese-mask-rcnn

We demonstrate empirical results on MS Coco highlighting challenges of the one-shot setting: while transferring knowledge about instance segmentation to novel object categories works very well, targeting the detection network towards the reference category appears to be more difficult.

FEW-SHOT OBJECT DETECTION ONE-SHOT INSTANCE SEGMENTATION ONE-SHOT LEARNING ONE-SHOT OBJECT DETECTION

RepMet: Representative-based metric learning for classification and one-shot object detection

12 Jun 2018jshtok/RepMet

Distance metric learning (DML) has been successfully applied to object classification, both in the standard regime of rich training data and in the few-shot scenario, where each category is represented by only a few examples.

FEW-SHOT OBJECT DETECTION METRIC LEARNING OBJECT CLASSIFICATION ONE-SHOT OBJECT DETECTION

OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features

15 Mar 2020aosokin/os2d

In this paper, we consider the task of one-shot object detection, which consists in detecting objects defined by a single demonstration.

ONE-SHOT OBJECT DETECTION

DroNet: Efficient convolutional neural network detector for real-time UAV applications

18 Jul 2018gplast/DroNet

Through the analysis we propose a CNN architecture that is capable of detecting vehicles from aerial UAV images and can operate between 5-18 frames-per-second for a variety of platforms with an overall accuracy of ~95%.

OBJECT DETECTION IN AERIAL IMAGES ONE-SHOT OBJECT DETECTION REAL-TIME OBJECT DETECTION

Quasi-Dense Instance Similarity Learning

11 Jun 2020sysmm/quasi-dense

In this paper, we present a simple yet effective quasi-dense matching method to learn instance similarity from hundreds of region proposals in a pair of images.

METRIC LEARNING OBJECT TRACKING ONE-SHOT OBJECT DETECTION