PR-MaGIC refines prompts in in-context segmentation via test-time gradient flow from the mask decoder plus top-1 selection, yielding better masks across benchmarks without training.
End- to-end object detection with transformers
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
SToRe3D delivers up to 3x faster inference for multi-view 3D object detection in ViTs by selecting relevant 2D tokens and 3D queries via mutual relevance heads with only marginal accuracy loss.
citing papers explorer
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PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation
PR-MaGIC refines prompts in in-context segmentation via test-time gradient flow from the mask decoder plus top-1 selection, yielding better masks across benchmarks without training.
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SToRe3D: Sparse Token Relevance in ViTs for Efficient Multi-View 3D Object Detection
SToRe3D delivers up to 3x faster inference for multi-view 3D object detection in ViTs by selecting relevant 2D tokens and 3D queries via mutual relevance heads with only marginal accuracy loss.