Official implementation of the paper "Progressive End-to-End Object Detection in Crowded Scenes"
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Updated
May 19, 2022 - Python
Official implementation of the paper "Progressive End-to-End Object Detection in Crowded Scenes"
Face recognition implementation is capable of recognizing faces with occlusion, this includes faces wearing masks.
A awesome project for person re-id. There are re-implements of PCB, MGN, MDRS(ours), PGFA, Pyramidal and HOReID.
The official code implementation for SynTable - A Synthetic Data Generation Pipeline for Cluttered Tabletop Scenes
Noise Aware OSTrack
A Tracking Framework for MOT Challenge
Occlusion and Multi-pose Face Recognition Dataset
Some of the work done during the winter research intern at IIST, Trivandrum
To observer a target in the environment, Drone has to find out a pose that can view the target and also does not collide with the obstacle. Octomap is used for checking whether the pose is available.
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