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 501–550 of 2262 papers

TitleStatusHype
SeqFormer: Sequential Transformer for Video Instance SegmentationCode1
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM ConnectomicsCode1
Implicit Feature Refinement for Instance SegmentationCode1
VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance SegmentationCode1
MViTv2: Improved Multiscale Vision Transformers for Classification and DetectionCode1
DenseCLIP: Language-Guided Dense Prediction with Context-Aware PromptingCode1
Container: Context Aggregation NetworksCode1
PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite ImagesCode1
End-to-End Referring Video Object Segmentation with Multimodal TransformersCode1
Contrastive Object-level Pre-training with Spatial Noise Curriculum LearningCode1
Mask Transfiner for High-Quality Instance SegmentationCode1
BoxeR: Box-Attention for 2D and 3D TransformersCode1
Conditional Object-Centric Learning from VideoCode1
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-LabelingCode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing ImagesCode1
Panoptic Segmentation: A ReviewCode1
TransMix: Attend to Mix for Vision TransformersCode1
Swin Transformer V2: Scaling Up Capacity and ResolutionCode1
iBOT: Image BERT Pre-Training with Online TokenizerCode1
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2Code1
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity TrackingCode1
Panoptic 3D Scene Reconstruction From a Single RGB ImageCode1
PointNu-Net: Keypoint-assisted Convolutional Neural Network for Simultaneous Multi-tissue Histology Nuclei Segmentation and ClassificationCode1
A Survey of Self-Supervised and Few-Shot Object DetectionCode1
CeyMo: See More on Roads -- A Novel Benchmark Dataset for Road Marking DetectionCode1
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place SolutionCode1
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer AggregationCode1
PlaneRecNet: Multi-Task Learning with Cross-Task Consistency for Piece-Wise Plane Detection and Reconstruction from a Single RGB ImageCode1
Mask-aware IoU for Anchor Assignment in Real-time Instance SegmentationCode1
1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021Code1
The Aircraft Context Dataset: Understanding and Optimizing Data Variability in Aerial DomainsCode1
Long-tailed Distribution AdaptationCode1
Clustering Plotted Data by Image SegmentationCode1
Transformer Assisted Convolutional Network for Cell Instance SegmentationCode1
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk ControlCode1
Instance Segmentation Challenge Track Technical Report, VIPriors Workshop at ICCV 2021: Task-Specific Copy-Paste Data Augmentation Method for Instance SegmentationCode1
Deep Structured Instance Graph for Distilling Object DetectorsCode1
Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion ModelingCode1
LGD: Label-guided Self-distillation for Object DetectionCode1
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-RefinementCode1
ConvMLP: Hierarchical Convolutional MLPs for VisionCode1
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with TransformersCode1
RAMA: A Rapid Multicut Algorithm on GPUCode1
LIVECell—A large-scale dataset for label-free live cell segmentationCode1
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty EstimationCode1
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online PoliciesCode1
CenterPoly: real-time instance segmentation using bounding polygonsCode1
Exploring Classification Equilibrium in Long-Tailed Object DetectionCode1
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree NetworksCode1
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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