SOTAVerified

Instance Segmentation

Instance Segmentation is a computer vision task that involves identifying and separating individual objects within an image, including detecting the boundaries of each object and assigning a unique label to each object. The goal of instance segmentation is to produce a pixel-wise segmentation map of the image, where each pixel is assigned to a specific object instance.

Image Credit: Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers, CVPR'21

Papers

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Showing 501–550 of 2262 papers

TitleStatusHype
Graph Relation Distillation for Efficient Biomedical Instance SegmentationCode1
Improving the Detection of Small Oriented Objects in Aerial ImagesCode1
PartSTAD: 2D-to-3D Part Segmentation Task AdaptationCode2
Multi-scale attention-based instance segmentation for measuring crystals with large size variation—0
ENSTRECT: A Stage-based Approach to 2.5D Structural Damage DetectionCode0
ODIN: A Single Model for 2D and 3D SegmentationCode2
DIOD: Self-Distillation Meets Object DiscoveryCode1
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge—0
Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior—0
Mudslide: A Universal Nuclear Instance Segmentation Method—0
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures—0
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes—0
Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation—0
Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation—0
LISA++: An Improved Baseline for Reasoning Segmentation with Large Language ModelCode4
Unsupervised Universal Image SegmentationCode2
Semantic-aware SAM for Point-Prompted Instance SegmentationCode1
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
Cached Transformers: Improving Transformers with Differentiable Memory CacheCode1
SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interactionCode1
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion ProcessCode2
The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and BenchmarkCode1
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes—0
Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical RepresentationCode1
SAI3D: Segment Any Instance in 3D Scenes—0
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask GuidanceCode1
Semantic-Aware Autoregressive Image Modeling for Visual Representation LearningCode1
General Object Foundation Model for Images and Videos at ScaleCode3
CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock FarmingCode1
Offshore Wind Plant Instance Segmentation Using Sentinel-1 Time Series, GIS, and Semantic Segmentation Models—0
SAM-guided Graph Cut for 3D Instance Segmentation—0
Comparing YOLOv8 and Mask RCNN for object segmentation in complex orchard environments—0
Automated Behavioral Analysis Using Instance SegmentationCode0
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous DrivingCode0
MaxQ: Multi-Axis Query for N:M Sparsity NetworkCode1
DFGET: Displacement-Field Assisted Graph Energy Transmitter for Gland Instance Segmentation—0
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance SegmentationCode1
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance SegmentationCode1
EipFormer: Emphasizing Instance Positions in 3D Instance Segmentation—0
Immature Green Apple Detection and Sizing in Commercial Orchards using YOLOv8 and Shape Fitting Techniques—0
VISAGE: Video Instance Segmentation with Appearance-Guided EnhancementCode1
Bottom-Up Instance Segmentation of Catheters for Chest X-Rays—0
Uni3DL: Unified Model for 3D and Language Understanding—0
PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood EstimationCode1
Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation mapsCode1
A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing—0
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors—0
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment AnythingCode4
Generalized Robot 3D Vision-Language Model with Fast Rendering and Pre-Training Vision-Language AlignmentCode3
CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations—0
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All datasetsCOCO test-devCOCO minivalLVIS v1.0 valCityscapes valADE20K valARMBenchOccluded COCOOoDISSeparated COCOTBBRBDD100K valCOCO val (panoptic labels)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8—Unverified
2ResNeSt-200 (multi-scale)AP5070.2—Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2—Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8—Unverified
5Co-DETRmask AP57.1—Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1—Unverified
7ISDA (ResNet-50)APL55.7—Unverified
8EVAmask AP55.5—Unverified
9FD-SwinV2-Gmask AP55.4—Unverified
10Mask Frozen-DETRmask AP55.3—Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501—Unverified
2Co-DETRmask AP56.6—Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9—Unverified
4InternImage-Hmask AP55.4—Unverified
5EVAmask AP55—Unverified
6Mask Frozen-DETRmask AP54.9—Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5—Unverified
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
9GLEE-Promask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified