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Semantic image-text matching with CLIP and alternatives. Use for image search, zero-shot classification, similarity matching. NOT for counting objects, fine-grained classification (celebrities, car models), spatial reasoning, or compositional queries. Mention CLIP, embeddings, image similarity, or semantic search.
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Ler descrição completa Recolher descrição CLIP-Aware Image Embeddings
Smart image-text matching that knows when CLIP works and when to use alternatives.
Quick Decision Tree
Your task:
├─ Semantic search ("find beach images") → CLIP ✓
├─ Zero-shot classification (broad categories) → CLIP ✓
├─ Counting objects → DETR, Faster R-CNN ✗
├─ Fine-grained ID (celebrities, car models) → Specialized model ✗
├─ Spatial relations ("cat left of dog") → GQA, SWIG ✗
└─ Compositional ("red car AND blue truck") → DCSMs, PC-CLIP ✗When
[Description truncada. Veja o README completo no GitHub.]
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