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 1001–1050 of 2262 papers

TitleStatusHype
Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks?—0
Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation—0
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation—0
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory AnnotationsCode0
UNIT: Unsupervised Online Instance Segmentation through Time—0
Bayesian Self-Training for Semi-Supervised 3D Segmentation—0
Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images—0
Advancing SEM Based Nano-Scale Defect Analysis in Semiconductor Manufacturing for Advanced IC Nodes—0
Automatic occlusion removal from 3D maps for maritime situational awareness—0
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation—0
MetaFood3D: 3D Food Dataset with Nutrition Values—0
DQFormer: Towards Unified LiDAR Panoptic Segmentation with Decoupled Queries—0
Knowledge Discovery in Optical Music Recognition: Enhancing Information Retrieval with Instance Segmentation—0
Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping—0
A Brief Analysis of the Iterative Next Boundary Detection Network for Tree Rings Delineation in Images of Pinus taedaCode0
Symmetric masking strategy enhances the performance of Masked Image Modeling—0
Open-Ended 3D Point Cloud Instance Segmentation—0
Vocabulary-Free 3D Instance Segmentation with Vision and Language Assistant—0
LSVOS Challenge 3rd Place Report: SAM2 and Cutie based VOS—0
An Interpretable Deep Learning Approach for Morphological Script Type Analysis—0
3D-Aware Instance Segmentation and Tracking in Egocentric Videos—0
Leveraging Superfluous Information in Contrastive Representation Learning—0
GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation—0
Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs—0
Tuning a SAM-Based Model with Multi-Cognitive Visual Adapter to Remote Sensing Instance Segmentation—0
Zero-Shot Dual-Path Integration Framework for Open-Vocabulary 3D Instance Segmentation—0
Performance Evaluation of YOLOv8 Model Configurations, for Instance Segmentation of Strawberry Fruit Development Stages in an Open Field Environment—0
Assessment of Cell Nuclei AI Foundation Models in Kidney PathologyCode0
Embodied Uncertainty-Aware Object Segmentation—0
Robust Approximate Characterization of Single-Cell Heterogeneity in Microbial GrowthCode0
Amodal Segmentation for Laparoscopic Surgery Video Instruments—0
A Simple Background Augmentation Method for Object Detection with Diffusion Model—0
MaskUno: Switch-Split Block For Enhancing Instance Segmentation—0
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention—0
McGAN: Generating Manufacturable Designs by Embedding Manufacturing Rules into Conditional Generative Adversarial Network—0
Enhancing Cell Instance Segmentation in Scanning Electron Microscopy Images via a Deep Contour Closing Operator—0
Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model—0
Scale Disparity of Instances in Interactive Point Cloud Segmentation—0
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model—0
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncodersCode0
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation—0
Generative AI Driven Task-Oriented Adaptive Semantic Communications—0
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 Segmentation—0
Joint prototype and coefficient prediction for 3D instance segmentation—0
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 Knowledge—0
Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRICode0
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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