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Circle Loss: A Unified Perspective of Pair Similarity Optimization., , , , , , and . CVPR, page 6397-6406. Computer Vision Foundation / IEEE, (2020)Node-Adaptive Multi-Graph Fusion Using Extreme Value Theory., , , and . IEEE Signal Process. Lett., (2020)PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis., , , , , , , , , and . ICLR, OpenReview.net, (2024)Query Adaptive Late Fusion for Image Retrieval., , and . CoRR, (2018)Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking., , , and . CoRR, (2021)How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?, , , and . ECCV (8), volume 13668 of Lecture Notes in Computer Science, page 38-55. Springer, (2022)SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction., , , , , , and . CoRR, (2024)PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation., , , , , , , , , and . CoRR, (2024)PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis., , , , , , , , , and 1 other author(s). CoRR, (2023)Softmax Dissection: Towards Understanding Intra- and Inter-Class Objective for Embedding Learning., , , and . AAAI, page 10957-10964. AAAI Press, (2020)