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 13261350 of 2262 papers

TitleStatusHype
Baybayin Character Instance Detection0
Bayesian Deep Learning for Affordance Segmentation in images0
Bayesian Self-Training for Semi-Supervised 3D Segmentation0
Bayesian Semantic Instance Segmentation in Open Set World0
Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network0
Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy0
Benchmarking the Robustness of Instance Segmentation Models0
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images0
Better (pseudo-)labels for semi-supervised instance segmentation0
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation0
Beyond Grids: Learning Graph Representations for Visual Recognition0
Beyond mAP: Towards better evaluation of instance segmentation0
Beyond the Final Layer: Hierarchical Query Fusion Transformer with Agent-Interpolation Initialization for 3D Instance Segmentation0
BFS-Net: Weakly Supervised Cell Instance Segmentation from Bright-Field Microscopy Z-Stacks0
Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image0
Bidirectional Graph Reasoning Network for Panoptic Segmentation0
Birds' Eye View: Measuring Behavior and Posture of Chickens as a Metric for Their Well-Being0
BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks0
BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction0
Boosting Box-supervised Instance Segmentation with Pseudo Depth0
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt0
Boosting Mask R-CNN Performance for Long, Thin Forensic Traces with Pre-Segmentation and IoU Region Merging0
Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis0
Bottom-Up Instance Segmentation of Catheters for Chest X-Rays0
Bottom-up Instance Segmentation using Deep Higher-Order CRFs0
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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