Visual Relationship Detection with Language Priors
《visual relationship detection with language priors》，這也是李飛飛在CNCC上提到的一片重要論文，發表於ECCV。 此論文用來進行關係檢測的主要方法是：分別訓練兩種視覺模型，一種來識別物體，一種來識別關係。 關係識別的一個挑戰在於沒有足夠的關係訓練樣本。比如說騎行這個動作，圖片可能是人騎馬、人騎車、人騎駱駝等等，想要將這些樣本統統蒐集起來是高耗能
相關文章
- 1. 論文閱讀：Visual Relationship Detection with Language Priors
- 2. 論文記錄：Visual Relationship Detection with Language Priors [VR-LP] (ECCV-16)
- 3. Visual relationship dataset
- 4. 【論文筆記-AAAI2020】Overcoming Language Priors in VQA via Decomposed Linguistic Representations
- 5. [CVPR2017] Visual Translation Embedding Network for Visual Relation Detection 論文筆記
- 6. GPR Detection with Rototics
- 7. Autolayout ＋ VFL(Visual Format Language)
- 8. Language Modeling with N-grams (Speech and Language Processing)
- 9. 論文閱讀：Large-Scale Visual Relationship Understanding
- 10. Exploring Visual Relationship for Image Captioning論文筆記
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相關文章
- 1. 論文閱讀：Visual Relationship Detection with Language Priors
- 2. 論文記錄：Visual Relationship Detection with Language Priors [VR-LP] (ECCV-16)
- 3. Visual relationship dataset
- 4. 【論文筆記-AAAI2020】Overcoming Language Priors in VQA via Decomposed Linguistic Representations
- 5. [CVPR2017] Visual Translation Embedding Network for Visual Relation Detection 論文筆記
- 6. GPR Detection with Rototics
- 7. Autolayout ＋ VFL(Visual Format Language)
- 8. Language Modeling with N-grams (Speech and Language Processing)
- 9. 論文閱讀：Large-Scale Visual Relationship Understanding
- 10. Exploring Visual Relationship for Image Captioning論文筆記