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 651675 of 2262 papers

TitleStatusHype
CDNet: Centripetal Direction Network for Nuclear Instance SegmentationCode1
Inception Convolution with Efficient Dilation SearchCode1
SWA Object DetectionCode1
FcaNet: Frequency Channel Attention NetworksCode1
SCNet: Training Inference Sample Consistency for Instance SegmentationCode1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene ContextsCode1
Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data AugmentationCode1
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object DetectionCode1
Simple Copy-Paste is a Strong Data Augmentation Method for Instance SegmentationCode1
Classifying Breast Histopathology Images with a Ductal Instance-Oriented PipelineCode1
The Lottery Ticket Hypothesis for Object RecognitionCode1
Rethinking Learnable Tree Filter for Generic Feature TransformCode1
CompFeat: Comprehensive Feature Aggregation for Video Instance SegmentationCode1
PeR-ViS: Person Retrieval in Video Surveillance using Semantic DescriptionCode1
Towards Part-Based Understanding of RGB-D ScansCode1
Robust Instance Segmentation through Reasoning about Multi-Object OcclusionCode1
Learning Universal Shape Dictionary for Realtime Instance SegmentationCode1
End-to-End Video Instance Segmentation with TransformersCode1
DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic ConvolutionCode1
MultiStar: Instance Segmentation of Overlapping Objects with Star-Convex PolygonsCode1
Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance SegmentationCode1
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection TasksCode1
Attention-Based Transformers for Instance Segmentation of Cells in MicrostructuresCode1
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance SegmentationCode1
Dense Contrastive Learning for Self-Supervised Visual Pre-TrainingCode1
Show:102550
← PrevPage 27 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
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
9GLEE-Promask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified