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[1] Confidence-Aware Contrastive Learning for Semantic Segmentation [C]. ACMMM 2023,
[2] POAR: Towards Open Vocabulary Pedestrian Attribute Recognition [C]. ACMMM 2023,
[3] Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer [C]. The 32nd International Joint Conference on Artificial Intelligence (IJCAI-23),
[4] Contrastive Bayesian Analysis for Deep Metric Learning [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(6): 7220-7238
[5] Coded Residual Transform for Generalizable Deep Metric Learning [C]. Advances in Neural Information Processing Systems 35, 2022, 28601-28615
[6] Local Semantic Correlation Modeling over Graph Neural Networks for Deep Feature Embedding and Image Retrieval IEEE Transactions on Image Processing, 2022, 31: 2988-3003
[7] A GAN-based input-size flexibility model for single image dehazing [J]. Signal Processing: Image Communication, 2022,
[8] Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning [C]. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, 13994-14003
[9] Zero-Shot Learning to Index on Semantic Trees for Scalable Image Retrieval [J]. IEEE Transactions on Image Processing, 2021, 30: 501-516
[10] Metric learning-based kernel transformer with triplets and label constraints for feature fusion [J]. Pattern Recognition, 2020,
[11] A Supervised Learning to Index Model for Approximate K-nearest Neighbor Image Retrieval [J]. Signal Processing: Image Communication (SPIC), 2019, 78: 494-502
[12] Supervised deep feature embedding with handcrafted feature [J]. IEEE Transactions on Image Processing, 2019, 28(12): 5809-5823
[13] SURF binarization and fast codebook construction for image retrieval Journal of visual communication and image representation, 2017, 49: 104-114
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