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 301–350 of 2262 papers

TitleStatusHype
CHEX: CHannel EXploration for CNN Model CompressionCode1
CeyMo: See More on Roads -- A Novel Benchmark Dataset for Road Marking DetectionCode1
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
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN TrainingCode1
Effective Self-supervised Pre-training on Low-compute Networks without DistillationCode1
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object DetectionCode1
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular CamerasCode1
Distribution Alignment: A Unified Framework for Long-tail Visual RecognitionCode1
DIOD: Self-Distillation Meets Object DiscoveryCode1
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box SupervisionCode1
DilateFormer: Multi-Scale Dilated Transformer for Visual RecognitionCode1
BoundarySqueeze: Image Segmentation as Boundary SqueezingCode1
Boundary-preserving Mask R-CNNCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise BinarizationCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
BoxeR: Box-Attention for 2D and 3D TransformersCode1
Distilling Knowledge via Knowledge ReviewCode1
3D Mitochondria Instance Segmentation with Spatio-Temporal TransformersCode1
CenterMask : Real-Time Anchor-Free Instance SegmentationCode1
BoxSnake: Polygonal Instance Segmentation with Box SupervisionCode1
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance SegmentationCode1
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
BoxVIS: Video Instance Segmentation with Box AnnotationsCode1
CenterMask: Real-Time Anchor-Free Instance SegmentationCode1
DoNet: Deep De-overlapping Network for Cytology Instance SegmentationCode1
Active Pointly-Supervised Instance SegmentationCode1
CenterPoly: real-time instance segmentation using bounding polygonsCode1
DropLoss for Long-Tail Instance SegmentationCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial ImagesCode1
DynaMask: Dynamic Mask Selection for Instance SegmentationCode1
Detect, consolidate, delineate: scalable mapping of field boundaries using satellite imagesCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance SegmentationCode1
CEDNet: A Cascade Encoder-Decoder Network for Dense PredictionCode1
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
Cached Transformers: Improving Transformers with Differentiable Memory CacheCode1
DeVIS: Making Deformable Transformers Work for Video Instance SegmentationCode1
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance SegmentationCode1
Efficient Self-supervised Vision Pretraining with Local Masked ReconstructionCode1
Delving Deeper into Anti-aliasing in ConvNetsCode1
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor SceneCode1
A One Stop 3D Target Reconstruction and multilevel Segmentation MethodCode1
Embedding-based Instance Segmentation in MicroscopyCode1
DenseCLIP: Language-Guided Dense Prediction with Context-Aware PromptingCode1
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm QuantizerCode1
End-to-End Referring Video Object Segmentation with Multimodal TransformersCode1
Applying Eigencontours to PolarMask-Based Instance SegmentationCode1
Deep Variational Instance SegmentationCode1
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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