Lam1360/YOLOv3-model-pruning
quality grade F, 34 out of 100在 oxford hand 数据集上对 YOLOv3 做模型剪枝(network slimming)
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Detection, segmentation, tracking, OCR models, 3D reconstruction and classical vision.
Signals: computer-vision, object-detection, image-segmentation, yolo, opencv, image-classification, pose-estimation, object-tracking
1,474 results
在 oxford hand 数据集上对 YOLOv3 做模型剪枝(network slimming)
SECOND for KITTI/NuScenes object detection
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
[DEIMv2] Real Time Object Detection Meets DINOv3
[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
You Only Look Once for Panopitic Driving Perception.(MIR2022)
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
Self hosted alternative to Google Photos
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
A Simple and Versatile Framework for Object Detection and Instance Recognition
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS
Most popular metrics used to evaluate object detection algorithms.
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
A paper list of object detection using deep learning.
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
:bar_chart: Benchmark multiple object trackers (MOT) in Python
🌝 MLKit是一个强大易用的工具包。通过ML Kit您可以很轻松的实现文字识别、条码识别、图像标记、人脸检测、对象检测等功能。
24,524 repositories in the index in total.