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Leveraging hallucinations to reduce manual prompt dependency in promptable segmentation
Promptable segmentation typically requires instance-specific manual prompts to guide the
segmentation of each desired object. To minimize such a need, task-generic promptable …
segmentation of each desired object. To minimize such a need, task-generic promptable …
Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
Category-agnostic pose estimation (CAPE) aims to predict keypoints for arbitrary classes
given a few support images annotated with keypoints. Existing methods only rely on the …
given a few support images annotated with keypoints. Existing methods only rely on the …
Occlusion-Aware Seamless Segmentation
Panoramic images can broaden the Field of View (FoV), occlusion-aware prediction can
deepen the understanding of the scene, and domain adaptation can transfer across viewing …
deepen the understanding of the scene, and domain adaptation can transfer across viewing …
PLUG: Revisiting Amodal Segmentation with Foundation Model and Hierarchical Focus
Aiming to predict the complete shapes of partially occluded objects, amodal segmentation is
an important step towards visual intelligence. With crucial significance, practical prior …
an important step towards visual intelligence. With crucial significance, practical prior …
Amodal instance segmentation with dual guidance from contextual and shape priors
Human perception possesses the remarkable ability to mentally reconstruct the complete
structure of occluded objects, which has inspired researchers to pursue amodal instance …
structure of occluded objects, which has inspired researchers to pursue amodal instance …
Opnet: Deep Occlusion Perception Network with Boundary Awareness for Amodal Instance Segmentation
The Amodal Instance Segmentation (AIS) task aims to infer the visible and occluded regions
of an object instance. Existing AIS methods typically focus on directly predicting visible and …
of an object instance. Existing AIS methods typically focus on directly predicting visible and …