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 13761400 of 2262 papers

TitleStatusHype
CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion0
CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations0
CellSegmenter: unsupervised representation learning and instance segmentation of modular images0
CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation0
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images0
CenterMask: single shot instance segmentation with point representation0
CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation0
Channel-wise Alignment for Adaptive Object Detection0
Chargrid-OCR: End-to-end Trainable Optical Character Recognition for Printed Documents using Instance Segmentation0
CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation0
ciscNet -- A Single-Branch Cell Instance Segmentation and Classification Network0
Classification Drives Geographic Bias in Street Scene Segmentation0
Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation0
ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations0
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation0
CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds0
ClusterNet: 3D Instance Segmentation in RGB-D Images0
ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning0
Cluttered Food Grasping with Adaptive Fingers and Synthetic-Data Trained Object Detection0
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation0
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images0
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images0
Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector0
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation0
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification0
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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
8GLEE-Promask AP54.2Unverified
9ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified