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DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability.

, , , , , , and . ICCV, page 15667-15677. IEEE, (2023)

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FILIP: Fine-grained Interactive Language-Image Pre-Training., , , , , , , , , and . CoRR, (2021)NLIP: Noise-Robust Language-Image Pre-training., , , , , , and . AAAI, page 926-934. AAAI Press, (2023)LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model., , , , , , , , and . CoRR, (2024)NLIP: Noise-robust Language-Image Pre-training., , , , , , and . CoRR, (2022)GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training., , , , , , , , , and . ICCV, page 22121-22132. IEEE, (2023)DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability., , , , , , and . ICCV, page 15667-15677. IEEE, (2023)FILIP: Fine-grained Interactive Language-Image Pre-Training., , , , , , , , , and . ICLR, OpenReview.net, (2022)Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark., , , , , , , , , and 2 other author(s). NeurIPS, (2022)P3OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection., , , , , , and . CoRR, (2022)Boosting Visual-Language Models by Exploiting Hard Samples., , , , , , , and . CoRR, (2023)