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A Closer Look at Self-Training for Zero-Label Semantic Segmentation.

, , , , , and . CVPR Workshops, page 2693-2702. Computer Vision Foundation / IEEE, (2021)

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Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 41 (9): 2251-2265 (2019)Open World Compositional Zero-Shot Learning., , , and . CVPR, page 5222-5230. Computer Vision Foundation / IEEE, (2021)I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification., , , , , , and . CVPR, page 15169-15179. IEEE, (2023)Learning from limited labeled data - Zero-Shot and Few-Shot Learning.. Saarland University, Saarbrücken, Germany, (2020)LocCa: Visual Pretraining with Location-aware Captioners., , , , , , , , , and . CoRR, (2024)SILC: Improving Vision Language Pretraining with Self-Distillation., , , , , and . CoRR, (2023)LIME: Localized Image Editing via Attention Regularization in Diffusion Models., , , , and . CoRR, (2023)LALM: Long-Term Action Anticipation with Language Models., , , , , and . CoRR, (2023)Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning., , , and . CVPR, page 15434-15443. IEEE, (2023)Detecting Adversarial Faces Using Only Real Face Self-Perturbations., , , , , , , and . IJCAI, page 1488-1496. ijcai.org, (2023)