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 651–700 of 2262 papers

TitleStatusHype
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance SegmentationCode2
Ref-Diff: Zero-shot Referring Image Segmentation with Generative ModelsCode1
CamoFA: A Learnable Fourier-based Augmentation for Camouflage Segmentation—0
NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation—0
Learning to Upsample by Learning to SampleCode1
Copy-Paste Image Augmentation with Poisson Image Editing for Ultrasound Instance Segmentation Learning—0
VideoCutLER: Surprisingly Simple Unsupervised Video Instance SegmentationCode3
1st Place Solution for the 5th LSVOS Challenge: Video Instance SegmentationCode1
Segment Anything for Microscopy—0
A three in one bottom-up framework for simultaneous semantic segmentation, instance segmentation and classification of multi-organ nuclei in digital cancer histology—0
Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation—0
Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN—0
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation—0
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle RepresentationCode0
Deployment and Analysis of Instance Segmentation Algorithm for In-field Grade Estimation of Sweetpotatoes—0
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global PixelsCode1
A Unified Query-based Paradigm for Camouflaged Instance SegmentationCode0
A One Stop 3D Target Reconstruction and multilevel Segmentation MethodCode1
SegPrompt: Boosting Open-world Segmentation via Category-level Prompt LearningCode1
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion ModelsCode2
FoodSAM: Any Food SegmentationCode1
Pseudo-label Alignment for Semi-supervised Instance SegmentationCode1
Fine-grained building roof instance segmentation based on domain adapted pretraining and composite dual-backbone—0
Instance segmentation based 6D pose estimation of industrial objects using point clouds for robotic bin-picking—0
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision—0
Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak LabelsCode0
1st Place Solution for CVPR2023 BURST Long Tail and Open World Challenges—0
Exploring Transformers for Open-world Instance Segmentation—0
Mask Frozen-DETR: High Quality Instance Segmentation with One GPU—0
Enhancing Nucleus Segmentation with HARU-Net: A Hybrid Attention Based Residual U-Blocks Network—0
DiT: Efficient Vision Transformers with Dynamic Token RoutingCode0
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels—0
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities—0
Guided Distillation for Semi-Supervised Instance SegmentationCode1
Weakly Supervised 3D Instance Segmentation without Instance-level Annotations—0
LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware AlignmentCode1
UGainS: Uncertainty Guided Anomaly Instance SegmentationCode1
NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological ImagesCode1
Synthetic Instance Segmentation from Semantic Image Segmentation MasksCode1
MonoNext: A 3D Monocular Object Detection with ConvNext—0
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding—0
Unmasking Anomalies in Road-Scene SegmentationCode1
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo LabelersCode1
CTVIS: Consistent Training for Online Video Instance SegmentationCode1
Learning Dynamic Query Combinations for Transformer-based Object Detection and SegmentationCode1
A novel integrated method of detection-grasping for specific object based on the box coordinate matching—0
ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations—0
Light-Weight Vision Transformer with Parallel Local and Global Self-Attention—0
On Point Affiliation in Feature UpsamplingCode1
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient 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