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 17761800 of 2262 papers

TitleStatusHype
TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris0
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving0
RepPoints V2: Verification Meets Regression for Object DetectionCode1
Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and SegmentationCode0
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation0
Unsupervised object-centric video generation and decomposition in 3DCode0
Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-SegmentCode0
Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric LearningCode1
Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers0
Point-Set Anchors for Object Detection, Instance Segmentation and Pose EstimationCode1
PointTrack++ for Effective Online Multi-Object Tracking and SegmentationCode1
Rethinking Channel Dimensions for Efficient Model DesignCode1
MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial VideosCode1
Abnormal activity capture from passenger flow of elevator based on unsupervised learning and fine-grained multi-label recognition0
A Survey on Instance Segmentation: State of the art0
SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization0
NINEPINS: Nuclei Instance Segmentation with Point Annotations0
Video Panoptic SegmentationCode1
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group SoftmaxCode1
LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB0
Coherent Reconstruction of Multiple Humans from a Single ImageCode1
Geometry-Aware Instance Segmentation with Disparity MapsCode0
GradAug: A New Regularization Method for Deep Neural NetworksCode1
VirTex: Learning Visual Representations from Textual AnnotationsCode1
Instance segmentation of buildings using keypoints0
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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