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[ECCV 2022] Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
A tutorial introducing knowledge distillation as an optimization technique for deployment on NVIDIA Jetson
Repository containing the code and tools required to build & smulate on the Syndrone dataset.
[TCSVT 2024] Consistent Representation Mining for Multi-Drone Single Object Tracking
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.
Some Conferences' accepted paper lists (including AI, ML, Robotic)
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quanti…
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network
YOLOv5-Realtime-Cam-Detection-on-MIIVII_Lite_NX_II-NVIDIA-Jetson-Xavier-NX
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
Admin UI for administration of spring boot applications
基于YOLOV5 的ROS2功能包，可以快速完成物体识别与位姿发布。 A ROS2 package based on YOLOV5 that enables fast object recognition and pose publishing.
Segment Anything in Medical Images
Open-source and strong foundation image recognition models.
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
This repository is a ROS 2 wrapper for the DJI PSDK libraries.
YOLOv3 Realtime Camera Detection on Manifold2-G NVIDIA Jetson TX2
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.