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Deep Learning
Object Detection
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Fast R-CNN
Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection (ATSS)
Probabilistic Anchor Assignment with IoU Prediction for Object Detection
Focal Loss for Dense Object Detection (RetinaNet)
End-to-End Object Detection with Transformers (DETR)
Mask R-CNN
Monocular 3D Object Detection
Generative Models
Compression (Image)
Compression (Video)
Transformer
Super Resolution
Other Papers
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Object Detection
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Mask R-CNN
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Mask R-CNN
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Authors:
Kaiming He, Georgia Gkioxari, Piotr Dollar, Ross Girshick
Affiliations:
Facebook AI Research