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CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet.

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Dhff: Robust Multi-Scale Person Search by Dynamic Hierarchical Feature Fusion., , , , and . ICIP, page 3935-3939. IEEE, (2019)Decouple Learning for Parameterized Image Operators., , , , , and . ECCV (13), volume 11217 of Lecture Notes in Computer Science, page 455-471. Springer, (2018)Passive detection of doctored JPEG image via block artifact grid extraction., , and . Signal Process., 89 (9): 1821-1829 (2009)Inter-frame distortion drift analysis for reversible data hiding in encrypted H.264/AVC video bitstreams., , and . Signal Process., (2016)Mining Local Specialties for Travelers by Leveraging Structured and Unstructured Data., , , and . Adv. Multim., (2012)Motion vector modification distortion analysis-based payload allocation for video steganography., and . J. Vis. Commun. Image Represent., (2021)Prediction error expansion-based reversible data hiding in encrypted images with public key cryptosystem., , , , and . IET Image Process., 13 (10): 1705-1713 (2019)Learning Pixel-Level and Instance-Level Context-Aware Features for Pedestrian Detection in Crowds., , , and . IEEE Access, (2019)TCCF: Tracking Based on Convolutional Neural Network and Correlation Filters., , and . ICIG (1), volume 10666 of Lecture Notes in Computer Science, page 316-327. Springer, (2017)Real-time Anomaly Detection with HMOF Feature., , , , and . ICVIP, page 49-54. ACM, (2018)