Amodal Instance Segmentation
1개 벤치마크 · 논문 26편 · 이 태스크의 논문 보기 →
Benchmarks
WALT
Most implemented
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation
OBSeg: Accurate and Fast Instance Segmentation Framework Using Segmentation Foundation Models with Oriented Bounding Box Prompts
SynTable: A Synthetic Data Generation Pipeline for Unseen Object Amodal Instance Segmentation of Cluttered Tabletop Scenes
Amodal Intra-class Instance Segmentation: Synthetic Datasets and Benchmark
Papers
Learnable Shape Prototypes with Occlusion-Geometry-Guided Injection for Amodal Instance Segmentation
Amodal instance segmentation aims to predict the complete object mask including occluded regions that lack pixel-level observations and must be inferred with the aid of shape priors. Existing methods acquire shape priors…
Amodal Instance SegmentationGDA-YOLO11: Amodal Instance Segmentation for Occlusion-Robust Robotic Fruit Harvesting
Occlusion remains a critical challenge in robotic fruit harvesting, as undetected or inaccurately localised fruits often results in substantial crop losses. To mitigate this issue, we propose a harvesting framework using…
Amodal Instance SegmentationSegment Anything, Even Occluded
Amodal instance segmentation, which aims to detect and segment both visible and invisible parts of objects in images, plays a crucial role in various applications including autonomous driving, robotic manipulation, and s…
Amodal Instance SegmentationAutonomous DrivingDecoderInstance Segmentation+3Amodal Instance Segmentation with Diffusion Shape Prior Estimation
Amodal Instance Segmentation (AIS) presents an intriguing challenge, including the segmentation prediction of both visible and occluded parts of objects within images. Previous methods have often relied on shape prior in…
Amodal Instance SegmentationInstance SegmentationObjectPrediction+2Foundation Models for Amodal Video Instance Segmentation in Automated Driving
In this work, we study amodal video instance segmentation for automated driving. Previous works perform amodal video instance segmentation relying on methods trained on entirely labeled video data with techniques borrowe…
Amodal Instance SegmentationInstance SegmentationPoint TrackingSegmentation+2ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation
Amodal Instance Segmentation (AIS) presents a challenging task as it involves predicting both visible and occluded parts of objects within images. Existing AIS methods rely on a bidirectional approach, encompassing both …
Amodal Instance SegmentationInstance SegmentationSemantic Segmentation