Jiangmiao Pang

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K-Net: Towards Unified Image Segmentation

Semantic, instance, and panoptic segmentations have been addressed using...
06/28/2021 ∙ by Wenwei Zhang, et al. ∙ 13 ∙ share

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FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

Monocular 3D object detection is an important task for autonomous drivin...
04/22/2021 ∙ by Tai Wang, et al. ∙ 0 ∙ share

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Seesaw Loss for Long-Tailed Instance Segmentation

This report presents the approach used in the submission of the LVIS Cha...
08/23/2020 ∙ by Jiaqi Wang, et al. ∙ 4 ∙ share

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Quasi-Dense Instance Similarity Learning

Similarity metrics for instances have drawn much attention, due to their...
06/11/2020 ∙ by Jiangmiao Pang, et al. ∙ 1 ∙ share

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Side-Aware Boundary Localization for More Precise Object Detection

Current object detection frameworks mainly rely on bounding box regressi...
12/09/2019 ∙ by Jiaqi Wang, et al. ∙ 20 ∙ share

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MMDetection: Open MMLab Detection Toolbox and Benchmark

We present MMDetection, an object detection toolbox that contains a rich...
06/17/2019 ∙ by Kai Chen, et al. ∙ 1 ∙ share

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Libra R-CNN: Towards Balanced Learning for Object Detection

Compared with model architectures, the training process, which is also c...
04/04/2019 ∙ by Jiangmiao Pang, et al. ∙ 0 ∙ share

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R^2-CNN: Fast Tiny Object Detection in Large-scale Remote Sensing Images

Recently, convolutional neural network has brought impressive improvemen...
02/16/2019 ∙ by Jiangmiao Pang, et al. ∙ 14 ∙ share

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Hybrid Task Cascade for Instance Segmentation

Cascade is a classic yet powerful architecture that has boosted performa...
01/22/2019 ∙ by Kai Chen, et al. ∙ 6 ∙ share

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FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction

The basic principles in designing convolutional neural network (CNN) str...
01/11/2019 ∙ by Shuyang Sun, et al. ∙ 0 ∙ share

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Jiangmiao Pang

Featured Co-authors

Trevor Darrell

Chen Change Loy

Zheng Zhang

Wanli Ouyang

Dahua Lin

Kai Chen

Yue Wu

Ziwei Liu

Jingdong Wang

Qi Li

Jianping Shi

K-Net: Towards Unified Image Segmentation

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

Seesaw Loss for Long-Tailed Instance Segmentation

Quasi-Dense Instance Similarity Learning

Side-Aware Boundary Localization for More Precise Object Detection

MMDetection: Open MMLab Detection Toolbox and Benchmark

Libra R-CNN: Towards Balanced Learning for Object Detection

R^2-CNN: Fast Tiny Object Detection in Large-scale Remote Sensing Images

Hybrid Task Cascade for Instance Segmentation

FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction