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 276300 of 2262 papers

TitleStatusHype
Robust Approximate Characterization of Single-Cell Heterogeneity in Microbial GrowthCode0
Embodied Uncertainty-Aware Object Segmentation0
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentationCode1
CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile ApplicationsCode2
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
Amodal Segmentation for Laparoscopic Surgery Video Instruments0
A Simple Background Augmentation Method for Object Detection with Diffusion Model0
MaskUno: Switch-Split Block For Enhancing Instance Segmentation0
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention0
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution KernelsCode1
McGAN: Generating Manufacturable Designs by Embedding Manufacturing Rules into Conditional Generative Adversarial Network0
PartGLEE: A Foundation Model for Recognizing and Parsing Any ObjectsCode2
Enhancing Cell Instance Segmentation in Scanning Electron Microscopy Images via a Deep Contour Closing Operator0
Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model0
Scale Disparity of Instances in Interactive Point Cloud Segmentation0
GroupMamba: Efficient Group-Based Visual State Space ModelCode2
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncodersCode0
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm QuantizerCode1
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation0
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model0
Generative AI Driven Task-Oriented Adaptive Semantic Communications0
Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded ScenesCode2
SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance SegmentationCode1
Show:102550
← PrevPage 12 of 91Next →

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