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A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking.

, , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (6): 3880-3894 (2022)

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PDNet: Towards Better One-stage Object Detection with Prediction Decoupling., , , , , , and . CoRR, (2021)RDSNet: A New Deep Architecture forReciprocal Object Detection and Instance Segmentation., , , , , and . AAAI, page 12208-12215. AAAI Press, (2020)A Closer Look at Self-supervised Lightweight Vision Transformers., , , , and . CoRR, (2022)DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning., , , , and . CoRR, (2022)PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling., , , , , , and . IEEE Trans. Image Process., (2022)Narrowing the Gap: Improved Detector Training With Noisy Location Annotations., , , and . IEEE Trans. Image Process., (2022)Observation, Analysis, and Solution: Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-Training., , , , , , , , , and . CoRR, (2024)A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking., , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (6): 3880-3894 (2022)A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking., , , , , , and . CoRR, (2021)RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation., , , , , and . CoRR, (2019)