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 12261250 of 2262 papers

TitleStatusHype
Generalized Class Discovery in Instance Segmentation0
Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation0
Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline0
Generative AI Driven Task-Oriented Adaptive Semantic Communications0
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data0
Generic Perceptual Loss for Modeling Structured Output Dependencies0
Gen-n-Val: Agentic Image Data Generation and Validation0
Geometric Image Synthesis0
Geometry-Aware Fruit Grasping Estimation for Robotic Harvesting in Orchards0
Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning0
GIN: Generative INvariant Shape Prior for Amodal Instance Segmentation0
Gland Instance Segmentation by Deep Multichannel Side Supervision0
Gland Instance Segmentation by Deep Multichannel Neural Networks0
Gland Instance Segmentation Using Deep Multichannel Neural Networks0
Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing0
Global Motion Understanding in Large-Scale Video Object Segmentation0
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation0
GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation0
QANet -- Quality Assurance Network for Image Segmentation0
Grafting Vision Transformers0
GraphBGS: Background Subtraction via Recovery of Graph Signals0
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos0
Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects0
Growing Instance Mask on Leaf0
GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER0
Show:102550
← PrevPage 50 of 91Next →

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