Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

NeurIPS 2015 facebookresearch/detectron

In this work, we introduce a Region Proposal Network (RPN) that shares full-image convolutional features with the detection network, thus enabling nearly cost-free region proposals.

REAL-TIME OBJECT DETECTION REGION PROPOSAL

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

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

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

Fast R-CNN

ICCV 2015 facebookresearch/detectron

Fast R-CNN builds on previous work to efficiently classify object proposals using deep convolutional networks.

OBJECT DETECTION

Non-local Neural Networks

CVPR 2018 facebookresearch/detectron

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

Ranked #7 on Keypoint Detection on COCO (Validation AP metric)

INSTANCE SEGMENTATION KEYPOINT DETECTION OBJECT DETECTION VIDEO CLASSIFICATION

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.

OBJECT DETECTION

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

Group Normalization

ECCV 2018 facebookresearch/detectron

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

OBJECT DETECTION VIDEO CLASSIFICATION