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Object Counting

5 papers with code · Computer Vision

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Object Counting and Instance Segmentation with Image-level Supervision

CVPR 2019 GuoleiSun/CountSeg

Moreover, our approach improves state-of-the-art image-level supervised instance segmentation with a relative gain of 17. 8% in terms of average best overlap, on the PASCAL VOC 2012 dataset.

INSTANCE SEGMENTATION OBJECT COUNTING SEMANTIC SEGMENTATION

Where are the Blobs: Counting by Localization with Point Supervision

ECCV 2018 ElementAI/LCFCN

However, we propose a detection-based method that does not need to estimate the size and shape of the objects and that outperforms regression-based methods.

OBJECT COUNTING

From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting

7 Jan 2020xhp-hust-2018-2011/S-DCNet

Visual counting, a task that aims to estimate the number of objects from an image/video, is an open-set problem by nature, i. e., the number of population can vary in [0, inf) in theory.

OBJECT COUNTING

Improving Object Counting with Heatmap Regulation

14 Mar 2018littleaich/heatmap-regulation

Adding HR to a simple VGG front-end improves performance on all these benchmarks compared to a simple one-look baseline model and results in state-of-the-art performance for car counting.

CROWD COUNTING OBJECT COUNTING

Object Counting and Instance Segmentation With Image-Level Supervision

CVPR 2019 alzayats/CountSeg-1

Moreover, our approach improves state-of-the-art image-level supervised instance segmentation with a relative gain of 17. 8% in terms of average best overlap, on the PASCAL VOC 2012 dataset.

INSTANCE SEGMENTATION OBJECT COUNTING SEMANTIC SEGMENTATION