benchmark_results
Visual Tracking Paper List
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Visual Tracking Paper List
SiamMask is an open-source framework designed for fast online object tracking and segmentation, originally presented at CVPR 2019 and updated in TPAMI 2023. It unifies the tasks of tracking and pixel-level segmentation into a single pipeline, enabling real-time performance on standard hardware. The software provides complete code for both training and inference, supporting PyTorch-based development on Linux environments with NVIDIA CUDA support. Key features include pre-trained models optimized for the VOT tracking challenge and the DAVIS video segmentation benchmark. The repository includes detailed instructions for environment setup, data preparation, model testing, and custom training workflows. Users can run inference via a provided demo script using pre-loaded weight files or train new models on their own datasets. SiamMask is particularly useful for researchers and developers working on video analysis, autonomous driving, and interactive computer vision applications where precise object localization and