SIFR fuses CLIP and DINOv2 spectrally for domain-general segmentation
The method filters domain-sensitive responses at fusion and stabilizes multi-scale decoder features before dense prediction.
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Stories tagged #semantic-segmentation
RePAIR repairs backdoored semantic segmentation models without retraining
The post-hoc, label-free method infers victim-target pairs from unlabeled images and corrects suspicious pixels.
Preference-Guided Adaptation for Open-Vocabulary Semantic Segmentation via Prompt Disagreement
A preference-guided method adapts open-vocabulary segmentation using prompt disagreement, improving MESS results without pixel masks.
RGBD20K: A Large-Scale Benchmark for RGB-D Semantic Segmentation
RGBD20K adds 20,000 RGB-D pairs and 160 classes for semantic segmentation, plus a score-purified fusion method.
GoDeep: Annotation-Free Open-Vocabulary 3D Scene Understanding via Language-Space Lifting
GoDeep achieves annotation-free open-vocabulary 3D segmentation by grounding structured image descriptions in language-only embeddings, outperforming CLIP-based lifting on out-of-vocabulary objects.