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 1651–1700 of 2262 papers

TitleStatusHype
Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images—0
Insightful Instance Features for 3D Instance Segmentation—0
InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation—0
Instance and Panoptic Segmentation Using Conditional Convolutions—0
Instance-Aware Embedding for Point Cloud Instance Segmentation—0
Instance-Aware Group Quantization for Vision Transformers—0
Instance-aware Self-supervised Learning for Nuclei Segmentation—0
InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception—0
Instance-Level Salient Object Segmentation—0
Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology—0
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline—0
Instance Search via Instance Level Segmentation and Feature Representation—0
Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks—0
Instance segmentation based 6D pose estimation of industrial objects using point clouds for robotic bin-picking—0
Instance Segmentation Based Graph Extraction for Handwritten Circuit Diagram Images—0
Instance Segmentation based Semantic Matting for Compositing Applications—0
Instance Segmentation for Point Sets—0
Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC—0
Instance segmentation of buildings using keypoints—0
Instance Segmentation of Dislocations in TEM Images—0
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors—0
Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning—0
Instance Segmentation of Industrial Point Cloud Data—0
Instance Segmentation of Multiple Myeloma Cells via Hybrid Task Cascade—0
Instance Segmentation of Reinforced Concrete Bridges with Synthetic Point Clouds—0
Instance Segmentation of Scene Sketches Using Natural Image Priors—0
Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN—0
Instance Segmentation of Visible and Occluded Regions for Finding and Picking Target from a Pile of Objects—0
Instance Segmentation with Cross-Modal Consistency—0
Instance Segmentation With Mask-Supervised Polygonal Boundary Transformers—0
Instance Segmentation with Point Supervision—0
Instance segmentation with the number of clusters incorporated in embedding learning—0
Instance Segmentation XXL-CT Challenge of a Historic Airplane—0
Instance-Specific Feature Propagation for Referring Segmentation—0
INSTA-YOLO: Real-Time Instance Segmentation—0
Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation—0
Integrating YOLO11 and Convolution Block Attention Module for Multi-Season Segmentation of Tree Trunks and Branches in Commercial Apple Orchards—0
Integration of Regularized l1 Tracking and Instance Segmentation for Video Object Tracking—0
Integration of Vision-based Object Detection and Grasping for Articulated Manipulator in Lunar Conditions—0
Intelligent Debris Mass Estimation Model for Autonomous Underwater Vehicle—0
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation—0
Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder—0
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects—0
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification—0
ISCUTE: Instance Segmentation of Cables Using Text Embedding—0
iShape: A First Step Towards Irregular Shape Instance Segmentation—0
Iterative Instance Segmentation—0
Iterative Learning for Instance Segmentation—0
Joint 3D Instance Segmentation and Object Detection for Autonomous Driving—0
Joint 3D Point Cloud Segmentation using Real-Sim Loop: From Panels to Trees and Branches—0
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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