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 551575 of 2262 papers

TitleStatusHype
MARS: Mask Attention Refinement with Sequential Quadtree Nodes for Car Damage Instance SegmentationCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
3D Indoor Instance Segmentation in an Open-WorldCode1
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic ConvolutionCode1
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality AnnotationsCode1
Deep Structured Instance Graph for Distilling Object DetectorsCode1
EDAPS: Enhanced Domain-Adaptive Panoptic SegmentationCode1
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
Efficient Multi-Task RGB-D Scene Analysis for Indoor EnvironmentsCode1
Mask-aware IoU for Anchor Assignment in Real-time Instance SegmentationCode1
EfficientPS: Efficient Panoptic SegmentationCode1
MassMIND: Massachusetts Maritime INfrared DatasetCode1
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2Code1
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance SegmentationCode1
LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud SegmentationCode1
DoNet: Deep De-overlapping Network for Cytology Instance SegmentationCode1
DenseCLIP: Language-Guided Dense Prediction with Context-Aware PromptingCode1
Learning Dynamic Query Combinations for Transformer-based Object Detection and SegmentationCode1
Low Latency Instance Segmentation by Continuous Clustering for LiDAR SensorsCode1
LVIS: A Dataset for Large Vocabulary Instance SegmentationCode1
Eigencontours: Novel Contour Descriptors Based on Low-Rank ApproximationCode1
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-RefinementCode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
Deep Learning based Food Instance Segmentation using Synthetic DataCode1
Show:102550
← PrevPage 23 of 91Next →

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
8GLEE-Promask AP54.2Unverified
9ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified