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

Showing 326350 of 2262 papers

TitleStatusHype
Contour Proposal Networks for Biomedical Instance SegmentationCode1
Contextual Transformer Networks for Visual RecognitionCode1
Continual Learning for Image Segmentation with Dynamic QueryCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
Instance Semantic Segmentation Benefits from Generative Adversarial NetworksCode1
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic SegmentationCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Continuous Copy-Paste for One-Stage Multi-Object Tracking and SegmentationCode1
FreePoint: Unsupervised Point Cloud Instance SegmentationCode1
Conditional Object-Centric Learning from VideoCode1
Conformer: Local Features Coupling Global Representations for Visual RecognitionCode1
Container: Context Aggregation NetworksCode1
Compositional Human-Scene Interaction Synthesis with Semantic ControlCode1
AnyStar: Domain randomized universal star-convex 3D instance segmentationCode1
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance SegmentationCode1
Conditional Convolutions for Instance SegmentationCode1
Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance SegmenterCode1
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor SceneCode1
A One Stop 3D Target Reconstruction and multilevel Segmentation MethodCode1
Container: Context Aggregation NetworkCode1
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance SegmentationCode1
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm QuantizerCode1
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2Code1
Applying Eigencontours to PolarMask-Based Instance SegmentationCode1
FinnWoodlands DatasetCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8Unverified
2ResNeSt-200 (multi-scale)AP5070.2Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8Unverified
5Co-DETRmask AP57.1Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1Unverified
7ISDA (ResNet-50)APL55.7Unverified
8EVAmask AP55.5Unverified
9FD-SwinV2-Gmask AP55.4Unverified
10Mask Frozen-DETRmask AP55.3Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501Unverified
2Co-DETRmask AP56.6Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9Unverified
4InternImage-Hmask AP55.4Unverified
5EVAmask AP55Unverified
6Mask Frozen-DETRmask AP54.9Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5Unverified
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
9GLEE-Promask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified