Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
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Updated
Apr 18, 2019 - Python
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
Object detection, 3D detection, and pose estimation using center point detection:
Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
🚨🚨🚨 CornerNet:基于虚拟仿真环境下的自动驾驶交通标志识别
RMB code recognition, TextLine Recogintion, Text detection, anchor-free
unofficial version of centerface, which achieves the best balance between speed and accuracy at face detection
A pytorch reimplementation of liuwei16/CSP, their trained keras weights are loaded in pytorch.
one-stage and two-stage detectors and segmentation-based detectors
NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)
Instance Segmentation based on CenterNet and CondInst
list the paper for recently anchor free detector
This project uses Centernet and Conditional Convolutions for Instance Segmentation
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
FCOS: Fully Convolutional One-Stage Object Detection.
The official PyTorch Implementation of RTM3D and KM3D for Monocular 3D Object Detection
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