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 1–50 of 2262 papers

TitleStatusHype
SCORE: Scene Context Matters in Open-Vocabulary Remote Sensing Instance SegmentationCode0
Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotyping—1
SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning—0
DreamGrasp: Zero-Shot 3D Multi-Object Reconstruction from Partial-View Images for Robotic Manipulation—0
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation—0
No time to train! Training-Free Reference-Based Instance SegmentationCode3
NOCTIS: Novel Object Cyclic Threshold based Instance SegmentationCode0
VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding—0
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment—0
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects—0
Prohibited Items Segmentation via Occlusion-aware Bilayer ModelingCode0
ALBERT: Advanced Localization and Bidirectional Encoder Representations from Transformers for Automotive Damage Evaluation—0
The Four Color Theorem for Cell Instance SegmentationCode1
Accurate and efficient zero-shot 6D pose estimation with frozen foundation models—0
SAM2Auto: Auto Annotation Using FLASH—0
OpenSplat3D: Open-Vocabulary 3D Instance Segmentation using Gaussian Splatting—0
You Only Estimate Once: Unified, One-stage, Real-Time Category-level Articulated Object 6D Pose Estimation for Robotic Grasping—0
Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery—0
OpenMaskDINO3D : Reasoning 3D Segmentation via Large Language ModelCode1
CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx—0
Gen-n-Val: Agentic Image Data Generation and Validation—0
SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds—0
CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation—0
ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions—0
The Missing Point in Vision Transformers for Universal Image SegmentationCode2
ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of ThoughtsCode0
Detailed Evaluation of Modern Machine Learning Approaches for Optic Plastics Sorting—0
Sketchy Bounding-box Supervision for 3D Instance SegmentationCode1
RE-TRIP : Reflectivity Instance Augmented Triangle Descriptor for 3D Place RecognitionCode1
UWSAM: Segment Anything Model Guided Underwater Instance Segmentation and A Large-scale Benchmark DatasetCode1
gen2seg: Generative Models Enable Generalizable Instance Segmentation—0
Decoupling Classifier for Boosting Few-shot Object Detection and Instance SegmentationCode1
Instance Segmentation for Point Sets—0
Industrial Synthetic Segment Pre-training—0
FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching—0
Enhancing Transformers Through Conditioned Embedded Tokens—0
SoftPQ: Robust Instance Segmentation Evaluation via Soft Matching and Tunable ThresholdsCode0
SurgPose: Generalisable Surgical Instrument Pose Estimation using Zero-Shot Learning and Stereo Vision—0
Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation—0
The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning—0
Vision Foundation Model Embedding-Based Semantic Anomaly Detection—0
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model—0
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization—0
Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer—0
Self-Supervised Learning for Robotic Leaf Manipulation: A Hybrid Geometric-Neural Approach—0
Segment Any RGB-Thermal Model with Language-aided Distillation—0
A Novel WaveInst-based Network for Tree Trunk Structure Extraction and Pattern Analysis in Forest Inventory—0
Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing—0
MoSAM: Motion-Guided Segment Anything Model with Spatial-Temporal Memory Selection—0
OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentationCode1
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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