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 11011125 of 2262 papers

TitleStatusHype
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images0
Towards general deep-learning-based tree instance segmentation models0
From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized StructuresCode0
Self-Balanced R-CNN for Instance SegmentationCode0
PM-VIS: High-Performance Box-Supervised Video Instance Segmentation0
FisheyeDetNet: 360° Surround view Fisheye Camera based Object Detection System for Autonomous Driving0
Nuclei Instance Segmentation of Cryosectioned H&E Stained Histological Images using Triple U-Net Architecture0
Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds0
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery0
Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose EncodingCode0
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation0
UruDendro, a public dataset of cross-section images of Pinus taedaCode0
NOISe: Nuclei-Aware Osteoclast Instance Segmentation for Mouse-to-Human Domain TransferCode0
AdaContour: Adaptive Contour Descriptor with Hierarchical RepresentationCode0
Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy0
Structured Model Pruning for Efficient Inference in Computational Pathology0
Automated National Urban Map Extraction0
Panoptic Perception: A Novel Task and Fine-grained Dataset for Universal Remote Sensing Image Interpretation0
CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks0
OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning0
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation0
Segment Any 3D Object with Language0
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Anthropic Prior Knowledge0
Instance-Aware Group Quantization for Vision Transformers0
SUGAR: Pre-training 3D Visual Representations for Robotics0
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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