Group Normalization

ECCV 2018 facebookresearch/detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

#18 best model for Object Detection on COCO

OBJECT DETECTION VIDEO CLASSIFICATION

Non-local Neural Networks

CVPR 2018 facebookresearch/detectron

Both convolutional and recurrent operations are building blocks that process one local neighborhood at a time.

INSTANCE SEGMENTATION KEYPOINT DETECTION OBJECT DETECTION VIDEO CLASSIFICATION

Learning to Segment Every Thing

CVPR 2018 facebookresearch/detectron

Most methods for object instance segmentation require all training examples to be labeled with segmentation masks.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Detecting and Recognizing Human-Object Interactions

CVPR 2018 facebookresearch/detectron

Our hypothesis is that the appearance of a person -- their pose, clothing, action -- is a powerful cue for localizing the objects they are interacting with.

HUMAN-OBJECT INTERACTION DETECTION

Focal Loss for Dense Object Detection

ICCV 2017 facebookresearch/detectron

Our novel Focal Loss focuses training on a sparse set of hard examples and prevents the vast number of easy negatives from overwhelming the detector during training.

#24 best model for Object Detection on COCO

DENSE OBJECT DETECTION

DensePose: Dense Human Pose Estimation In The Wild

CVPR 2018 facebookresearch/detectron

In this work, we establish dense correspondences between RGB image and a surface-based representation of the human body, a task we refer to as dense human pose estimation.

POSE ESTIMATION

Mask R-CNN

ICCV 2017 facebookresearch/detectron

Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.

HUMAN PART SEGMENTATION INSTANCE SEGMENTATION KEYPOINT DETECTION MULTI-HUMAN PARSING OBJECT DETECTION SEMANTIC SEGMENTATION

Data Distillation: Towards Omni-Supervised Learning

CVPR 2018 facebookresearch/detectron

We investigate omni-supervised learning, a special regime of semi-supervised learning in which the learner exploits all available labeled data plus internet-scale sources of unlabeled data.

KEYPOINT DETECTION OBJECT DETECTION

Feature Pyramid Networks for Object Detection

CVPR 2017 facebookresearch/detectron

Feature pyramids are a basic component in recognition systems for detecting objects at different scales.

#32 best model for Object Detection on COCO

OBJECT DETECTION

R-FCN: Object Detection via Region-based Fully Convolutional Networks

NeurIPS 2016 facebookresearch/detectron

In contrast to previous region-based detectors such as Fast/Faster R-CNN that apply a costly per-region subnetwork hundreds of times, our region-based detector is fully convolutional with almost all computation shared on the entire image.

REAL-TIME OBJECT DETECTION