Official code for BEVDepth.
Repository
Repository di Megvii-BaseDetection
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DenseTeacher: Dense Pseudo-Label for Semi-supervised Object Detection
(131 star) (12 fork) (1 issue indicizzata) (1 good first issue aperta)
Megvii-BaseDetection/LLAPython
Official implementation of our paper "LLA: Loss-aware Label Assignment for Dense Pedestrian Detection" in Pytorch.
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Megvii-BaseDetection/OTAPython
Official implementation of our CVPR2021 paper "OTA: Optimal Transport Assignment for Object Detection" in Pytorch.
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YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
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