LVIS: A Dataset for Large Vocabulary Instance Segmentation

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Items 101–200 of 1,004

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5. Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks
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6. SOLO: A Simple Framework for Instance Segmentation
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7. FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation
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8. Contextual Object Detection with Multimodal Large Language Models
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13. Universal-Prototype Enhancing for Few-Shot Object Detection
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15. Few-Shot Object Detection: A Survey
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17. Learning Open-World Object Proposals Without Learning to Classify
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19. Adaptive Class Suppression Loss for Long-Tail Object Detection
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27. Distilling Virtual Examples for Long-tailed Recognition
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28. Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation
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29. Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
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30. Debiased Learning from Naturally Imbalanced Pseudo-Labels
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31. FlexiViT: One Model for All Patch Sizes
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36. Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation
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37. A Survey of Self-Supervised and Few-Shot Object Detection
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38. Exploiting Unlabeled Data with Vision and Language Models for Object Detection
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40. BLINK: Multimodal Large Language Models Can See but Not Perceive
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41. Crossover Learning for Fast Online Video Instance Segmentation
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44. Object recognition datasets and challenges: A review
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45. Simple Multi-dataset Detection
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48. DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation
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49. A review of object detection: Datasets, performance evaluation, architecture, applications and current trends
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50. Diffusioninst: Diffusion Model for Instance Segmentation
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51. PACO: Parts and Attributes of Common Objects
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53. Subject-Diffusion: Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning
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54. Learning to Segment the Tail
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58. Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling
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59. Open Vocabulary Object Detection with Pseudo Bounding-Box Labels
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