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Seesaw Loss for Long-Tailed Instance Segmentation
This report presents the approach used in the submission of the LVIS Cha...
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Quasi-Dense Instance Similarity Learning
Similarity metrics for instances have drawn much attention, due to their...
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Side-Aware Boundary Localization for More Precise Object Detection
Current object detection frameworks mainly rely on bounding box regressi...
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MMDetection: Open MMLab Detection Toolbox and Benchmark
We present MMDetection, an object detection toolbox that contains a rich...
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Libra R-CNN: Towards Balanced Learning for Object Detection
Compared with model architectures, the training process, which is also c...
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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...
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Hybrid Task Cascade for Instance Segmentation
Cascade is a classic yet powerful architecture that has boosted performa...
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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...
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