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 951975 of 2262 papers

TitleStatusHype
Foveated Instance SegmentationCode0
PM-VIS+: High-Performance Video Instance Segmentation without Video AnnotationCode0
Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic ManuscriptsCode0
Point Cloud Instance Segmentation with Semi-supervised Bounding-Box MiningCode0
Foundation Models for Amodal Video Instance Segmentation in Automated DrivingCode0
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance SegmentationCode0
Pixelwise Instance Segmentation with a Dynamically Instantiated NetworkCode0
A Simple Single-Scale Vision Transformer for Object Localization and Instance SegmentationCode0
PixelLink: Detecting Scene Text via Instance SegmentationCode0
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding ModelCode0
Fine-grained Background Representation for Weakly Supervised Semantic SegmentationCode0
Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRICode0
CircleSnake: Instance Segmentation with Circle RepresentationCode0
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance SegmentationCode0
Circle Representation for Medical Instance Object SegmentationCode0
Pixel-Level Analysis for Enhancing Threat Detection in Large-Scale X-ray Security ImagesCode0
SA3DIP: Segment Any 3D Instance with Potential 3D PriorsCode0
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAMCode0
AdaptIS: Adaptive Instance Selection NetworkCode0
Fast Segment AnythingCode0
Fast Scene Understanding for Autonomous DrivingCode0
Partial-Attribution Instance Segmentation for Astronomical Source Detection and DeblendingCode0
Faster Training of Mask R-CNN by Focusing on Instance BoundariesCode0
Panoptic Lintention Network: Towards Efficient Navigational Perception for the Visually ImpairedCode0
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object UnderstandingCode0
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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