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Zero-Shot Instance Segmentation

Papers

Showing 113 of 13 papers

TitleStatusHype
SA3DIP: Segment Any 3D Instance with Potential 3D PriorsCode0
GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation0
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation0
EfficientViT-SAM: Accelerated Segment Anything Model Without Accuracy LossCode0
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment AnythingCode4
Fast Segment AnythingCode0
Segment Anything in High QualityCode0
ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes0
Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance SegmentationCode1
Segment AnythingCode5
SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor EnvironmentsCode1
EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense PredictionCode4
Zero-Shot Instance SegmentationCode1
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