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 351–400 of 2262 papers

TitleStatusHype
Efficient Self-supervised Vision Pretraining with Local Masked ReconstructionCode1
Efficient Multi-Task RGB-D Scene Analysis for Indoor EnvironmentsCode1
EfficientPS: Efficient Panoptic SegmentationCode1
Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing ImagesCode1
Effective Self-supervised Pre-training on Low-compute Networks without DistillationCode1
EDAPS: Enhanced Domain-Adaptive Panoptic SegmentationCode1
CBNet: A Composite Backbone Network Architecture for Object DetectionCode1
FsaNet: Frequency Self-attention for Semantic SegmentationCode1
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss FunctionCode1
Deep High-Resolution Representation Learning for Visual RecognitionCode1
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological ImagesCode1
GAInS: Gradient Anomaly-aware Biomedical Instance SegmentationCode1
BoundarySqueeze: Image Segmentation as Boundary SqueezingCode1
Boundary-preserving Mask R-CNNCode1
Improving Weakly-supervised Video Instance Segmentation by Leveraging Spatio-temporal ConsistencyCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and ClassificationCode1
A Robust Feature Downsampling Module for Remote Sensing Visual TasksCode1
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance SegmentationCode1
CenterMask : Real-Time Anchor-Free Instance SegmentationCode1
Dynamic Convolution for 3D Point Cloud Instance SegmentationCode1
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
CenterPoly: real-time instance segmentation using bounding polygonsCode1
CentripetalNet: Pursuing High-quality Keypoint Pairs for Object DetectionCode1
CeyMo: See More on Roads -- A Novel Benchmark Dataset for Road Marking DetectionCode1
CEDNet: A Cascade Encoder-Decoder Network for Dense PredictionCode1
A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial ImagesCode1
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance SegmentationCode1
CHEX: CHannel EXploration for CNN Model CompressionCode1
CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic SurgeryCode1
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object DetectionCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
Conformer: Local Features Coupling Global Representations for Visual RecognitionCode1
CISCA and CytoDArk0: a Cell Instance Segmentation and Classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studiesCode1
Continuous Copy-Paste for One-Stage Multi-Object Tracking and SegmentationCode1
DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic ConvolutionCode1
Classification Calibration for Long-tail Instance SegmentationCode1
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN TrainingCode1
Classifying Breast Histopathology Images with a Ductal Instance-Oriented PipelineCode1
Container: Context Aggregation NetworkCode1
Class-incremental Continual Learning for Instance Segmentation with Image-level Weak SupervisionCode1
Human Instance Matting via Mutual Guidance and Multi-Instance RefinementCode1
Humans need not label more humans: Occlusion Copy & Paste for Occluded Human Instance SegmentationCode1
CLIP-VIS: Adapting CLIP for Open-Vocabulary Video Instance SegmentationCode1
DropLoss for Long-Tail Instance SegmentationCode1
DynaMask: Dynamic Mask Selection for Instance SegmentationCode1
ClusterFormer: Clustering As A Universal Visual LearnerCode1
Eigencontours: Novel Contour Descriptors Based on Low-Rank ApproximationCode1
DocSegTr: An Instance-Level End-to-End Document Image Segmentation TransformerCode1
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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
8GLEE-Promask AP54.2—Unverified
9ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified