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 1426–1450 of 2262 papers

TitleStatusHype
Copy-Paste Image Augmentation with Poisson Image Editing for Ultrasound Instance Segmentation Learning—0
CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks—0
AdaCoSeg: Adaptive Shape Co-Segmentation with Group Consistency Loss—0
Could Giant Pretrained Image Models Extract Universal Representations?—0
Counting and Segmenting Sorghum Heads—0
Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks—0
CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds—0
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation—0
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics—0
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation—0
Curriculum Learning with Diversity for Supervised Computer Vision Tasks—0
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning—0
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation—0
CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx—0
DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation—0
DArch: Dental Arch Prior-Assisted 3D Tooth Instance Segmentation With Weak Annotations—0
DARNet: Deep Active Ray Network for Building Segmentation—0
Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening—0
Cross-Task Data Augmentation by Pseudo-label Generation for Region Based Coronary Artery Instance Segmentation—0
Data-Centric Learning Framework for Real-Time Detection of Aiming Beam in Fluorescence Lifetime Imaging Guided Surgery—0
Data-driven Detection and Evaluation of Damages in Concrete Structures: Using Deep Learning and Computer Vision—0
3rd Place Scheme on Instance Segmentation Track of ICCV 2021 VIPriors Challenges—0
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model—0
Decoupled Motion Expression Video Segmentation—0
Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance 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