Bridge learns low-rank bases for front-door causal adjustment to remove spurious correlations from domain shifts and integrates the approach with vision foundation models for improved object detection generalization.
Deep residual learning for image recognition
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
HSA-DINO improves open-vocabulary object detection on domain-shifted tasks via hierarchical semantic prompts and dynamic routing while preserving pre-trained generalization.
citing papers explorer
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Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization
Bridge learns low-rank bases for front-door causal adjustment to remove spurious correlations from domain shifts and integrates the approach with vision foundation models for improved object detection generalization.
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Parameter-Efficient Semantic Augmentation for Enhancing Open-Vocabulary Object Detection
HSA-DINO improves open-vocabulary object detection on domain-shifted tasks via hierarchical semantic prompts and dynamic routing while preserving pre-trained generalization.