视觉算法专家（2D方向）

1、目标检测, 分割, 识别，语义理解等算法的实现
2、参考行业最新进展, 具备快速复现的能力, 具备根据实际算法问题设计模型优化方向
3、具备较强的工程能力, 根据实际应用设计工程方案
4、具备使用/微调大模型, 加速模型标注/训练/落地的经验
1、3年以上视觉算法相关工作经验
2、硕士及以上学历， 计算机、自动化等相关专业，本科211、985优先。
3、技术纵深：至少有3项以下问题的独立改进案例：在小物体检测、暗光环境检测、条状物体分割边缘优化、相似物体识别、大体量人脸识别、侧脸识别、长尾分布
4、对模型结构, 损失函数, 数据增强等方面具备较为广泛的设计调参优化经验
5、具备2D相机标定, 相机调参等硬件经验者优先
6、利用大模型对算法落地流程有大幅度改进经验者优先

1. Implementation of algorithms such as object detection, segmentation, recognition, and semantic understanding
2. Stay informed of the latest industry progress, possess the ability to rapidly reproduce results, and be capable of designing model optimization directions based on actual algorithm problems
3. Possess strong engineering capabilities and design engineering solutions based on practical applications
4. Have experience in using/fine-tuning large models to accelerate model annotation/training/deployment
1. 3+ years of experience in visual algorithms
2. Master's degree or above in Computer Science, Automation, or related fields; bachelor's degree from 211/985 universities preferred.
3. Technical depth: at least 3 independent improvement cases in the following areas: small object detection, low-light environment detection, edge optimization for elongated object segmentation, similar object recognition, large-scale face recognition, profile face recognition, long-tail distribution
4. Extensive experience in design, parameter tuning, and optimization of model structures, loss functions, data augmentation, etc.
5. Experience with 2D camera calibration, camera parameter tuning, and other hardware-related work preferred
6. Experience in significantly improving algorithm deployment processes using large models preferred

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