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 151–200 of 2262 papers

TitleStatusHype
Fully Convolutional Instance-aware Semantic SegmentationCode2
The Four Color Theorem for Cell Instance SegmentationCode1
OpenMaskDINO3D : Reasoning 3D Segmentation via Large Language ModelCode1
RE-TRIP : Reflectivity Instance Augmented Triangle Descriptor for 3D Place RecognitionCode1
Sketchy Bounding-box Supervision for 3D Instance SegmentationCode1
UWSAM: Segment Anything Model Guided Underwater Instance Segmentation and A Large-scale Benchmark DatasetCode1
Decoupling Classifier for Boosting Few-shot Object Detection and Instance SegmentationCode1
OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentationCode1
Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian SplattingCode1
Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline ResultsCode1
v-CLR: View-Consistent Learning for Open-World Instance SegmentationCode1
CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and ClassificationCode1
SAS: Segment Any 3D Scene with Integrated 2D PriorsCode1
WeedsGalore: A Multispectral and Multitemporal UAV-based Dataset for Crop and Weed Segmentation in Agricultural Maize FieldsCode1
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning DynamicsCode1
Mind the Gap: Evaluating Patch Embeddings from General-Purpose and Histopathology Foundation Models for Cell Segmentation and ClassificationCode1
ContourFormer:Real-Time Contour-Based End-to-End Instance Segmentation TransformerCode1
TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry OperationsCode1
Toward Realistic Camouflaged Object Detection: Benchmarks and MethodCode1
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss FunctionCode1
Relation3D : Enhancing Relation Modeling for Point Cloud Instance SegmentationCode1
ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance SegmentationCode1
RapidNet: Multi-Level Dilated Convolution Based Mobile BackboneCode1
Token Cropr: Faster ViTs for Quite a Few TasksCode1
SyncVIS: Synchronized Video Instance SegmentationCode1
Learn from Foundation Model: Fruit Detection Model without Manual AnnotationCode1
RETR: Multi-View Radar Detection Transformer for Indoor PerceptionCode1
Fast and Efficient Transformer-based Method for Bird's Eye View Instance PredictionCode1
Automated Classification of Cell Shapes: A Comparative Evaluation of Shape DescriptorsCode1
LESS: Label-Efficient and Single-Stage Referring 3D SegmentationCode1
V2M: Visual 2-Dimensional Mamba for Image Representation LearningCode1
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space ModelCode1
Lidar Panoptic Segmentation in an Open WorldCode1
GAInS: Gradient Anomaly-aware Biomedical Instance SegmentationCode1
CISCA and CytoDArk0: a Cell Instance Segmentation and Classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studiesCode1
MouseSIS: A Frames-and-Events Dataset for Space-Time Instance Segmentation of MiceCode1
Evaluation Study on SAM 2 for Class-agnostic Instance-level SegmentationCode1
Improving Weakly-supervised Video Instance Segmentation by Leveraging Spatio-temporal ConsistencyCode1
ISETHDR: A Physics-based Synthetic Radiance Dataset for High Dynamic Range Driving ScenesCode1
NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei SegmentationCode1
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentationCode1
Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater EnvironmentCode1
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and ClassificationCode1
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution KernelsCode1
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm QuantizerCode1
SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance SegmentationCode1
Part2Object: Hierarchical Unsupervised 3D Instance SegmentationCode1
Unified Embedding Alignment for Open-Vocabulary Video 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
8GLEE-Promask AP54.2—Unverified
9ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified