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artrack

bert

TensorFlow code and pre-trained models for BERT

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

droptrack

The official fine-tuning code for DropTrack

efficientvit

EfficientViT is a new family of vision models for efficient high-resolution vision.

groundingdino

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

groupvit

Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.

odtrack

The official implementation for the paper [ODTrack: Online Dense Temporal Token Learning for Visual Tracking].

ostrack

[ECCV 2022] Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework

rknn_model_zoo

sdstrack

[CVPR 2024] SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking

seqtrackv2

SeqTrackv2: Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking

spark

Apache Spark - A unified analytics engine for large-scale data processing

tbsi

uninext

[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

yolo-world

Real-Time Open-Vocabulary Object Detection

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

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/