Theodore-xs's repositories
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
ByteTrack
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
CenterTrack
Simultaneous object detection and tracking using center points.
clash
A rule-based tunnel in Go.
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
deep_sort_pytorch
MOT using deepsort and yolov3 with pytorch
Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
DINO
Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
FairMOT
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
GSDT
Official PyTorch implementation of "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks"
loss-landscape
Code for visualizing the loss landscape of neural nets
mpn
mpn
permatrack
Implementation for Learning to Track with Object Permanence
sort
Simple, online, and realtime tracking of multiple objects in a video sequence.
SOTS
Single object tracking and segmentation.
STAMT
data association
StrongSORT
StrongSORT: Make DeepSORT Great Again
TADAM
Implementation of the CVPR 2021 paper "Online Multiple Object Tracking with Cross-Task Synergy"
tadn-mot
Transformer based Decision Networks for MOT
TBD_BOT
TBD
Towards-Realtime-MOT
Joint Detection and Embedding for fast multi-object tracking
TrackEval
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
trackformer
Implementation of "TrackFormer: Multi-Object Tracking with Transformers”. [Conference on Computer Vision and Pattern Recognition (CVPR), 2022]
TransTrack
Multiple Object Tracking with Transformer
VISO
[IEEE TGRS 2021] Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/