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- Dissimilarity Coefficient based Weakly Supervised Object Detection | **[CVPR' 19]** |[`[pdf]`](https://arxiv.org/pdf/1811.10016)
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- Adapting Object Detectors via Selective Cross-Domain Alignment | **[CVPR' 19]**
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- Fully Quantized Network for Object Detection | **[CVPR' 19]**
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- Distilling Object Detectors with Fine-grained Feature Imitation | **[CVPR' 19]**
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- Multi-task Self-Supervised Object Detection via Recycling of Bounding Box Annotations | **[CVPR' 19]**
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- **[Reasoning-RCNN]** Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection | **[CVPR' 19]**
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- Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation | **[CVPR' 19]**
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- Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors | **[CVPR' 19]**
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- Spatial-aware Graph Relation Network for Large-scale Object Detection | **[CVPR' 19]**
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- **[MaxpoolNMS]** MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors | **[CVPR' 19]**
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- You reap what you sow: Generating High Precision Object Proposals for Weakly-supervised Object Detection | **[CVPR' 19]**
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- Object detection with location-aware deformable convolution and backward attention filtering | **[CVPR' 19]**
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- Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection | **[CVPR' 19]**
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