Abstract masked dataset 추가로 제안 ⇒ pixel-wise understanding 위해. design a vision-language model by injecting pixel-level representation into LLM CNN based CLIP for using as a image encoder and mask-aware visual extractor Applications; They use also with SAM for more semantic works. Introduction previous research limitation.
Region-level understanding에 국한되어 있는 연구들 언급. Kosmos-2 [37]: 이 연구는 bounding box를 지정된 영역으로 처리하고 객체 수준의 공간적 특징을 활용하는 시각적 지시 조정을 시도했습니다. [ https://github.com/microsoft/unilm/tree/mas...
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AI
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SOTA
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Similarity
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SentencesBERT
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SAM
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RegionLevel
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PixelWise
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Pixelunderstanding
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Osprey
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mLLM
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InstructionFollowing
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HQSAM
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GPT4Gen
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generative
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explainable
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Deeplearning
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Dataset
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BERT
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VisualInstructionTuning
