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 1551–1600 of 2262 papers

TitleStatusHype
Accelerating the creation of instance segmentation training sets through bounding box annotation—0
Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap—0
Evaluation of Video Coding for Machines without Ground Truth—0
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds—0
Birds' Eye View: Measuring Behavior and Posture of Chickens as a Metric for Their Well-Being—0
Instance-Specific Feature Propagation for Referring Segmentation—0
DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation—0
PointInst3D: Segmenting 3D Instances by Points—0
Tag-Based Attention Guided Bottom-Up Approach for Video Instance Segmentation—0
Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod—0
Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation—0
Monocular Depth Estimation Using Cues Inspired by Biological Vision SystemsCode0
Less than Few: Self-Shot Video Instance Segmentation—0
Shape-Aware Monocular 3D Object Detection—0
An Extendable, Efficient and Effective Transformer-based Object Detector—0
Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder—0
Transfer Learning for Instance Segmentation of Waste Bottles using Mask R-CNN Algorithm—0
Deep learning based automatic detection of offshore oil slicks using SAR data and contextual information—0
End-to-End Instance Edge Detection—0
Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN—0
Ship Segmentation and Georeferencing from Static Oblique View Images—0
ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for Action Recognition—0
GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER—0
Human Instance Segmentation and Tracking via Data Association and Single-stage Detector—0
Self-Supervised Image Representation Learning with Geometric Set Consistency—0
MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation—0
HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation—0
Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy imagesCode0
SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation—0
Object discovery and representation networksCode0
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning—0
Contrastive Learning for Automotive mmWave Radar Detection Points Based Instance Segmentation—0
One-stage Video Instance Segmentation: From Frame-in Frame-out to Clip-in Clip-outCode0
Deformable VisTR: Spatio temporal deformable attention for video instance segmentationCode0
Cluttered Food Grasping with Adaptive Fingers and Synthetic-Data Trained Object Detection—0
Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention—0
Boosting Mask R-CNN Performance for Long, Thin Forensic Traces with Pre-Segmentation and IoU Region Merging—0
Signature and Log-signature for the Study of Empirical Distributions Generated with GANsCode0
End-to-end video instance segmentation via spatial-temporal graph neural networksCode0
On Steering Multi-Annotations per Sample for Multi-Task Learning—0
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images—0
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking—0
Efficient Video Instance Segmentation via Tracklet Query and Proposal—0
Panoptic segmentation with highly imbalanced semantic labels—0
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification—0
SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment—0
Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector—0
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and CountingCode0
ciscNet -- A Single-Branch Cell Instance Segmentation and Classification Network—0
Confidence Calibration for Object Detection and Segmentation—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