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 2051–2100 of 2262 papers

TitleStatusHype
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle RepresentationCode0
Panoptic-DeepLabCode0
Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten ManuscriptsCode0
EOLO: Embedded Object Segmentation only Look OnceCode0
ENSeg: A Novel Dataset and Method for the Segmentation of Enteric Neuron Cells on Microscopy ImagesCode0
Enhancing Generic Segmentation with Learned Region RepresentationsCode0
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped AttentionCode0
SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt DenoisingCode0
Budgeted Training: Rethinking Deep Neural Network Training Under Resource ConstraintsCode0
One Step Learning, One Step ReviewCode0
One-stage Video Instance Segmentation: From Frame-in Frame-out to Clip-in Clip-outCode0
TomatoScanner: phenotyping tomato fruit based on only RGB imageCode0
BriFiSeg: a deep learning-based method for semantic and instance segmentation of nuclei in brightfield imagesCode0
One Shot Model For The Prediction of COVID-19 and Lesions Segmentation In Chest CT Scans Through The Affinity Among Lesion Mask FeaturesCode0
Enhanced Masked Image Modeling for Analysis of Dental Panoramic RadiographsCode0
SAWEC: Sensing-Assisted Wireless Edge ComputingCode0
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention MechanismCode0
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural Networks with A Hierarchical Dice LossCode0
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention MechanismCode0
Top-Down Beats Bottom-Up in 3D Instance SegmentationCode0
TopoSeg: Topology-Aware Nuclear Instance SegmentationCode0
BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance SegmentationCode0
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance SegmentationCode0
Object discovery and representation networksCode0
A Brief Analysis of the Iterative Next Boundary Detection Network for Tree Rings Delineation in Images of Pinus taedaCode0
BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous DrivingCode0
SCD: A Stacked Carton Dataset for Detection and SegmentationCode0
Object Counting and Instance Segmentation with Image-level SupervisionCode0
Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic GraspingCode0
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground TruthCode0
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy ImagesCode0
Scene Text Detection with Supervised Pyramid Context NetworkCode0
End-to-end video instance segmentation via spatial-temporal graph neural networksCode0
NOISe: Nuclei-Aware Osteoclast Instance Segmentation for Mouse-to-Human Domain TransferCode0
SCORE: Scene Context Matters in Open-Vocabulary Remote Sensing Instance SegmentationCode0
NOCTIS: Novel Object Cyclic Threshold based Instance SegmentationCode0
End-to-End Learned Random Walker for Seeded Image SegmentationCode0
BERTgrid: Contextualized Embedding for 2D Document Representation and UnderstandingCode0
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is ComingCode0
ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation ModelsCode0
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed LearningCode0
End-to-End Instance Segmentation with Recurrent AttentionCode0
Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide ImagesCode0
EmbedMask: Embedding Coupling for One-stage Instance SegmentationCode0
Towards End-to-End Lane Detection: an Instance Segmentation ApproachCode0
EgoSurgery-HTS: A Dataset for Egocentric Hand-Tool Segmentation in Open Surgery VideosCode0
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation DataCode0
A Benchmark of Long-tailed Instance Segmentation with Noisy LabelsCode0
Benchmarking Label Noise in Instance Segmentation: Spatial Noise MattersCode0
A MultiPath Network for Object DetectionCode0
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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