dvl-tum/motsynth-baselines

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Created over 2 years ago
Updated over 2 years ago

dvl-tum/motsynth-baselines

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Baselines and setup instructions for the MOTSynth dataset (ICCV 2021)

mot_neural_solver

Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).

SUSHI

Official PyTorch implementation of Unifying Short and Long-Term Tracking with Graph Hierarchies (CVPR 2023)

GHOST

Repository for GHOST: Simple Cues Lead to a Strong Multi-Object Tracker (CVPR 2023)

gomatch

Official PyTorch implementation of GoMatch -- "Is Geometry Enough for Matching in Visual Localization" [ECCV2022]

Jupyter Notebook

ciagan

Official PyTorch implementation of CIAGAN

defocus-net

Official PyTorch implementation of "Focus on Defocus" paper.

group_loss

Official code for "The Group Loss for Deep Metric Learning" paper (ECCV 2020)

center-group

Official PyTorch implementation of "The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation" (ICCV 21).

intra_batch

Official PyTorch implementation of Learning Intra-Batch Connections for Deep Metric Learning (ICML 2021) published at International Conference on Machine Learning

e-osvos

Implementation of "Make One-Shot Video Object Segmentation Efficient Again” and the semi-supervised fine-tuning "e-OSVOS" approach (NeurIPS 2020).

slurm_submit

SeMoLi

Official implementation of SeMoLi: What Moves Together Belongs Together (CVPR 2024)