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 11261150 of 2262 papers

TitleStatusHype
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid NetworkCode1
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub RobotCode1
PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage0
Parallel Pre-trained Transformers (PPT) for Synthetic Data-based Instance Segmentation0
Broken News: Making Newspapers Accessible to Print-Impaired0
LDD: A Dataset for Grape Diseases Object Detection and Instance Segmentation0
Global Context Vision TransformersCode2
Patch-level Representation Learning for Self-supervised Vision TransformersCode1
A Unified Sequence Interface for Vision Tasks0
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images0
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation0
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey0
Consistent Video Instance Segmentation with Inter-Frame Recurrent Attention0
RF-Next: Efficient Receptive Field Search for Convolutional Neural NetworksCode1
A Semantic Consistency Feature Alignment Object Detection Model Based on Mixed-Class Distribution Metrics0
GLIPv2: Unifying Localization and Vision-Language UnderstandingCode4
BFS-Net: Weakly Supervised Cell Instance Segmentation from Bright-Field Microscopy Z-Stacks0
VITA: Video Instance Segmentation via Object Token AssociationCode1
SHRED: 3D Shape Region Decomposition with Learned Local OperationsCode1
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and SegmentationCode4
Occlusion-Resistant Instance Segmentation of Piglets in Farrowing Pens Using Center Clustering Network0
Metrics reloaded: Recommendations for image analysis validationCode1
Robustness Evaluation and Adversarial Training of an Instance Segmentation Model0
What Are Expected Queries in End-to-End Object Detection?Code2
H-EMD: A Hierarchical Earth Mover's Distance Method for 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