GESS introduces joint semantic-normal and depth stability prediction heads, the SDAK keypoint mechanism, and the UTCF descriptor fusion module to leverage multi-cue synergy for improved robustness and discriminability.
Contextmatcher: Detector-free feature matching with cross-modality context
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2026 2verdicts
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A semi-dense image matching pipeline adds scale adaptability via score-matrix hints at the coarse stage and local flow consistency via gradient loss at the fine stage.
citing papers explorer
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GESS: Multi-cue Guided Local Feature Learning via Geometric and Semantic Synergy
GESS introduces joint semantic-normal and depth stability prediction heads, the SDAK keypoint mechanism, and the UTCF descriptor fusion module to leverage multi-cue synergy for improved robustness and discriminability.
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Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency
A semi-dense image matching pipeline adds scale adaptability via score-matrix hints at the coarse stage and local flow consistency via gradient loss at the fine stage.