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 15261550 of 2262 papers

TitleStatusHype
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling0
A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction0
Beyond mAP: Towards better evaluation of instance segmentation0
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR0
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance SegmentationCode0
UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration0
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
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images0
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation0
A Unified Sequence Interface for Vision Tasks0
Consistent Video Instance Segmentation with Inter-Frame Recurrent Attention0
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey0
A Semantic Consistency Feature Alignment Object Detection Model Based on Mixed-Class Distribution Metrics0
BFS-Net: Weakly Supervised Cell Instance Segmentation from Bright-Field Microscopy Z-Stacks0
Occlusion-Resistant Instance Segmentation of Piglets in Farrowing Pens Using Center Clustering Network0
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes0
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation0
Robustness Evaluation and Adversarial Training of an Instance Segmentation Model0
2D Amodal Instance Segmentation Guided by 3D Shape Prior0
Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning0
iFS-RCNN: An Incremental Few-shot Instance SegmenterCode0
UNet#: A UNet-like Redesigning Skip Connections for Medical Image 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