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 601–650 of 2262 papers

TitleStatusHype
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation—0
Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification—0
Zero-Shot Refinement of Buildings' Segmentation Models using SAMCode1
LoCUS: Learning Multiscale 3D-consistent Features from Posed Images—0
Adapting Vision Foundation Models for Plant Phenotyping—0
Self-supervised Learning of Contextualized Local Visual EmbeddingsCode0
PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore ModelingCode1
Advances in Kidney Biopsy Lesion Assessment through Dense Instance Segmentation—0
YOLOR-Based Multi-Task LearningCode5
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding—0
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling—0
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds—0
Mask4Former: Mask Transformer for 4D Panoptic SegmentationCode1
MoCaE: Mixture of Calibrated Experts Significantly Improves Object DetectionCode1
3D Indoor Instance Segmentation in an Open-WorldCode1
Automatic Animation of Hair Blowing in Still Portrait Photos—0
A SAM-based Solution for Hierarchical Panoptic Segmentation of Crops and Weeds Competition—0
GIN: Generative INvariant Shape Prior for Amodal Instance Segmentation—0
ClusterFormer: Clustering As A Universal Visual LearnerCode1
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance SegmentationCode1
TCOVIS: Temporally Consistent Online Video Instance SegmentationCode0
NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance FieldsCode1
RMT: Retentive Networks Meet Vision TransformersCode2
Intelligent Debris Mass Estimation Model for Autonomous Underwater Vehicle—0
Uncertainty Estimation in Instance Segmentation with Star-convex Shapes—0
Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated LabelsCode0
HiT: Building Mapping with Hierarchical Transformers—0
OmniLRS: A Photorealistic Simulator for Lunar RoboticsCode1
TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point cloudsCode1
X-PDNet: Accurate Joint Plane Instance Segmentation and Monocular Depth Estimation with Cross-Task Distillation and Boundary CorrectionCode1
BROW: Better featuRes fOr Whole slide image based on self-distillation—0
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology ImagesCode1
JSMNet Improving Indoor Point Cloud Semantic and Instance Segmentation through Self-Attention and Multiscale—0
Computer Vision Pipeline for Automated Antarctic Krill Analysis—0
Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization—0
Fully Automated Scan-to-BIM Via Point Cloud Instance SegmentationCode1
Panoptic Vision-Language Feature FieldsCode1
Towards Content-based Pixel Retrieval in Revisited Oxford and ParisCode1
SortedAP: Rethinking evaluation metrics for instance segmentationCode0
Semi-supervised Instance Segmentation with a Learned Shape Prior—0
On the Efficacy of Multi-scale Data Samplers for Vision Applications—0
Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding—0
Instance Segmentation of Dislocations in TEM Images—0
Defect Detection in Synthetic Fibre Ropes using Detectron2 Framework—0
SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools—0
Mask-Attention-Free Transformer for 3D Instance SegmentationCode1
DAT++: Spatially Dynamic Vision Transformer with Deformable AttentionCode2
Integration of Vision-based Object Detection and Grasping for Articulated Manipulator in Lunar Conditions—0
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees—0
When 3D Bounding-Box Meets SAM: Point Cloud Instance Segmentation with Weak-and-Noisy Supervision—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