DeeperCut swMATH ID: 27574 Software Authors: Eldar Insafutdinov, Leonid Pishchulin, Bjoern Andres, Mykhaylo Andriluka, Bernt Schiele Description: DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model. The goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people. To that end we contribute on three fronts. We propose (1) improved body part detectors that generate effective bottom-up proposals for body parts; (2) novel image-conditioned pairwise terms that allow to assemble the proposals into a variable number of consistent body part configurations; and (3) an incremental optimization strategy that explores the search space more efficiently thus leading both to better performance and significant speed-up factors. Evaluation is done on two single-person and two multi-person pose estimation benchmarks. The proposed approach significantly outperforms best known multi-person pose estimation results while demonstrating competitive performance on the task of single person pose estimation. Models and code available at this http URL: http://pose.mpi-inf.mpg.de/ Homepage: https://arxiv.org/abs/1605.03170 Source Code: https://github.com/eldar/deepcut Related Software: MultiPoseNet; PersonLab; RMPE; ImageNet; GSNet; CarFusion; DeepLabCut; Occlusion-Net; LightTrack; HigherHRNet; OpenPose; ApolloCar3D; BlazeFace; SMPL; MOT16; MS-COCO; PyTorch; Python; OpenPifPaf; ISUD Cited in: 2 Documents all top 5 Cited by 6 Authors 1 Chakraborty, Chandan 1 Contardo, Claudio 1 Costa, Luciano da Fontoura 1 Desaulniers, Guy 1 Saha, Monjoy 1 Yarkony, Julian Cited in 2 Serials 1 INFORMS Journal on Computing 1 IEEE Transactions on Image Processing Cited in 2 Fields 1 Operations research, mathematical programming (90-XX) 1 Information and communication theory, circuits (94-XX) Citations by Year