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

Showing 176200 of 2262 papers

TitleStatusHype
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8Unverified
2ResNeSt-200 (multi-scale)AP5070.2Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8Unverified
5Co-DETRmask AP57.1Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1Unverified
7ISDA (ResNet-50)APL55.7Unverified
8EVAmask AP55.5Unverified
9FD-SwinV2-Gmask AP55.4Unverified
10Mask Frozen-DETRmask AP55.3Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501Unverified
2Co-DETRmask AP56.6Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9Unverified
4InternImage-Hmask AP55.4Unverified
5EVAmask AP55Unverified
6Mask Frozen-DETRmask AP54.9Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5Unverified
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
9GLEE-Promask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified