IEEE

NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection

Abstract: The labeling cost of large number of bounding boxes is one of the main challenges for training modern object detectors. To reduce the dependence on expensive bounding box annotations, we ...
GitHub

Domain Adaptive Faster R-CNN for Object Detection in the Wild

This is the implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'. The aim is to improve the cross-domain robustness of object detection, in the ...
IEEE

PG-RCNN: Semantic Surface Point Generation for 3D Object Detection

Abstract: One of the main challenges in LiDAR-based 3D object detection is that the sensors often fail to capture the complete spatial information about the objects due to long distance and occlusion.
GitHub

Mask R-CNN for Object Detection and Segmentation

This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature ...