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 10261050 of 2262 papers

TitleStatusHype
Zero-Shot Dual-Path Integration Framework for Open-Vocabulary 3D Instance Segmentation0
Performance Evaluation of YOLOv8 Model Configurations, for Instance Segmentation of Strawberry Fruit Development Stages in an Open Field Environment0
Assessment of Cell Nuclei AI Foundation Models in Kidney PathologyCode0
Embodied Uncertainty-Aware Object Segmentation0
Robust Approximate Characterization of Single-Cell Heterogeneity in Microbial GrowthCode0
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
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention0
McGAN: Generating Manufacturable Designs by Embedding Manufacturing Rules into Conditional Generative Adversarial Network0
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
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model0
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncodersCode0
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation0
Generative AI Driven Task-Oriented Adaptive Semantic Communications0
M18K: A Comprehensive RGB-D Dataset and Benchmark for Mushroom Detection and Instance SegmentationCode0
WSESeg: Introducing a Dataset for the Segmentation of Winter Sports Equipment with a Baseline for Interactive SegmentationCode0
SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae SegmentationCode0
Improved Block Merging for 3D Point Cloud Instance Segmentation0
Joint prototype and coefficient prediction for 3D instance segmentation0
Mapping urban large-area advertising structures using drone imagery and deep learning-based spatial data analysisCode0
Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge0
Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRICode0
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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