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 12261250 of 2262 papers

TitleStatusHype
Active Token MixerCode1
Cluttered Food Grasping with Adaptive Fingers and Synthetic-Data Trained Object Detection0
RankSeg: Adaptive Pixel Classification with Image Category Ranking for SegmentationCode1
Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention0
E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance SegmentationCode2
Boosting Mask R-CNN Performance for Long, Thin Forensic Traces with Pre-Segmentation and IoU Region Merging0
Signature and Log-signature for the Study of Empirical Distributions Generated with GANsCode0
End-to-end video instance segmentation via spatial-temporal graph neural networksCode0
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images0
On Steering Multi-Annotations per Sample for Multi-Task Learning0
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking0
Panoptic segmentation with highly imbalanced semantic labels0
Nuclei instance segmentation and classification in histopathology images with StarDistCode3
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification0
Efficient Video Instance Segmentation via Tracklet Query and Proposal0
Instance Segmentation for Autonomous Log Grasping in Forestry OperationsCode1
SoftGroup for 3D Instance Segmentation on Point CloudsCode2
SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment0
Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector0
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and CountingCode0
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN TrainingCode1
ciscNet -- A Single-Branch Cell Instance Segmentation and Classification Network0
Confidence Calibration for Object Detection and Segmentation0
Weakly Supervised Instance Segmentation using Motion Information via Optical Flow0
Efficient Video Segmentation Models with Per-frame Inference0
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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