ruhyadi/YOLO3D
quality grade F, 30 out of 100YOLO 3D Object Detection for Autonomous Driving Vehicle
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,694 results
YOLO 3D Object Detection for Autonomous Driving Vehicle
Omega-AI:基于java打造的深度学习框架,帮助你快速搭建神经网络,实现模型推理与训练,引擎支持自动求导,多线程与GPU运算,GPU支持CUDA,CUDNN。
YOLO Magic🪄 is an extension based on Ultralytics' YOLOv5, designed to provide more powerful functionality and simpler operations for visual tasks.
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
Open-source Monocular Python HawkEye for Tennis
Tensorflow implementation of YOLO, including training and test phase.
Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
YOLOv2 in PyTorch
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Scaled-YOLOv4: Scaling Cross Stage Partial Network
YoloV3 Implemented in Tensorflow 2.0
🔥🔥🔥 专注于YOLO11,YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
Official pytorch repository for "QD-DETR : Query-Dependent Video Representation for Moment Retrieval and Highlight Detection" (CVPR 2023 Paper)
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
TensorFlow implementation of ENet
Official code for CVPR 2022 (Oral) paper "Deep Visual Geo-localization Benchmark"
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
[WACV23] A strong baseline for body part-based person re-identification
PyTorch Implementation of Compact Generalized Non-local Network [NIPS'18]
Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"
DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.
[ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation
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