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VCL Challenges 2023 at ICCV 2023 Technical Report: Bi-level Adaptation Method for Test-time Adaptive Object Detection.

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Smooth representation learning from multi-view data., , , , , and . Inf. Fusion, (December 2023)Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation., , , , , , , , , and 1 other author(s). CoRR, (2023)End-to-End Edge Detection via Improved Transformer Model., , , and . ICONIP (4), volume 13111 of Lecture Notes in Computer Science, page 514-525. Springer, (2021)Pure graph-guided multi-view subspace clustering., , , , and . Pattern Recognit., (April 2023)Knowledge Distillation Method for Surface Defect Detection., , , and . ICONIP (4), volume 13111 of Lecture Notes in Computer Science, page 644-655. Springer, (2021)ST-CA YOLOv5: Improved YOLOv5 Based on Swin Transformer and Coordinate Attention for Surface Defect Detection., , , and . IJCNN, page 1-8. IEEE, (2023)VCL Challenges 2023 at ICCV 2023 Technical Report: Bi-level Adaptation Method for Test-time Adaptive Object Detection., , , , , and . CoRR, (2023)Graph-level Anomaly Detection via Deep Metric Learning., , , and . ACAI, page 88-96. ACM, (2023)Deep learning in nuclear industry: A survey., , , , , , , , , and . Big Data Min. Anal., 5 (2): 140-160 (2022)Zero-shot learning by mutual information estimation and maximization., , , and . Knowl. Based Syst., (2020)