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Found 3 papers, 2 papers with code
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
Recent self-supervised pretraining methods for object detection largely focus on pretraining the backbone of the object detector, neglecting key parts of detection architecture.
Ranked #1 on
Few-Shot Object Detection
on COCO 2017
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization
The additive model encourages the predicted object region to be supported by its surrounding context region.
Ranked #4 on
Weakly Supervised Object Detection
on Charades
Efficient Feature Extraction, Encoding and Classification for Action Recognition
Local video features provide state-of-the-art performance for action recognition.
