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 15761600 of 2262 papers

TitleStatusHype
PointIT: A Fast Tracking Framework Based on 3D Instance Segmentation0
PolarNeXt: Rethink Instance Segmentation with Polar Representation0
Polite Teacher: Semi-Supervised Instance Segmentation with Mutual Learning and Pseudo-Label Thresholding0
Poly-NL: Linear Complexity Non-local Layers with Polynomials0
Poly-NL: Linear Complexity Non-Local Layers With 3rd Order Polynomials0
Pose2Instance: Harnessing Keypoints for Person Instance Segmentation0
Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation0
PoSeg: Pose-Aware Refinement Network for Human Instance Segmentation0
Pre-training with 3D Synthetic Data: Learning 3D Point Cloud Instance Segmentation from 3D Synthetic Scenes0
Primitive-based 3D Building Modeling, Sensor Simulation, and Estimation0
Probabilistic Deep Learning for Instance Segmentation0
Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers0
ProMerge: Prompt and Merge for Unsupervised Instance Segmentation0
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding0
Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks0
ProtoSeg: A Prototype-Based Point Cloud Instance Segmentation Method0
Pseudo Mask Augmented Object Detection0
PSGformer: Enhancing 3D Point Cloud Instance Segmentation via Precise Semantic Guidance0
PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage0
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning0
PUPS: Point Cloud Unified Panoptic Segmentation0
Putting 3D Spatially Sparse Networks on a Diet0
Quantification of cardiac capillarization in single-immunostained myocardial slices using weakly supervised instance segmentation0
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks0
Query Refinement Transformer for 3D Instance Segmentation0
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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