Official code for BEVDepth.
Repositories
Megvii-BaseDetection Repositories
(875 Stars) (121 Forks) (0 indexierte Issues) (0 offene good first issues)
DenseTeacher: Dense Pseudo-Label for Semi-supervised Object Detection
(131 Stars) (12 Forks) (1 indexiertes Issue) (1 offenes good first issue)
Megvii-BaseDetection/LLAPython
Official implementation of our paper "LLA: Loss-aware Label Assignment for Dense Pedestrian Detection" in Pytorch.
(36 Stars) (3 Forks) (0 indexierte Issues) (0 offene good first issues)
Megvii-BaseDetection/OTAPython
Official implementation of our CVPR2021 paper "OTA: Optimal Transport Assignment for Object Detection" in Pytorch.
(247 Stars) (24 Forks) (0 indexierte Issues) (0 offene good first issues)
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
(8.623 Stars) (2.069 Forks) (2 indexierte Issues) (2 offene good first issues)