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Self-Supervised Learning with Swin Transformers., , , , , , and . CoRR, (2021)Balanced Sparsity for Efficient DNN Inference on GPU., , , , and . AAAI, page 5676-5683. AAAI Press, (2019)iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-training for Visual Recognition., , , , , , , and . CVPR, page 2776-2786. IEEE, (2023)SimMIM: a Simple Framework for Masked Image Modeling., , , , , , , and . CVPR, page 9643-9653. IEEE, (2022)Leveraging Batch Normalization for Vision Transformers., , , , , and . ICCVW, page 413-422. IEEE, (2021)Disentangled Non-local Neural Networks., , , , , , and . ECCV (15), volume 12360 of Lecture Notes in Computer Science, page 191-207. Springer, (2020)Cross-Iteration Batch Normalization., , , , and . CoRR, (2020)Swin Transformer V2: Scaling Up Capacity and Resolution., , , , , , , , , and 2 other author(s). CVPR, page 11999-12009. IEEE, (2022)Balanced Sparsity for Efficient DNN Inference on GPU., , , , and . CoRR, (2018)Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity., , , , , , , , and . FPGA, page 63-72. ACM, (2019)