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 17511775 of 2262 papers

TitleStatusHype
Learning Object Placement by Inpainting for Compositional Data Augmentation0
Joint Semantic Instance Segmentation on Graphs with the Semantic Mutex Watershed0
Learning with Noisy Class Labels for Instance SegmentationCode1
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation0
Learning RGB-D Feature Embeddings for Unseen Object Instance SegmentationCode1
SipMask: Spatial Information Preservation for Fast Image and Video Instance SegmentationCode1
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and trackingCode1
Detection and Segmentation of Custom Objects using High Distraction Photorealistic Synthetic DataCode1
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds0
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance SegmentationCode1
Representation Sharing for Fast Object Detector Search and BeyondCode1
The Devil is in Classification: A Simple Framework for Long-tail Object Detection and Instance SegmentationCode1
Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening0
Instance-aware Self-supervised Learning for Nuclei Segmentation0
Deep Variational Instance SegmentationCode1
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance SegmentationCode1
Balanced Meta-Softmax for Long-Tailed Visual RecognitionCode1
Split and Expand: An inference-time improvement for Weakly Supervised Cell Instance Segmentation0
Can we cover navigational perception needs of the visually impaired by panoptic segmentation?0
Learning Gaussian Instance Segmentation in Point CloudsCode1
Feature Pyramid Transformer0
Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances0
CASNet: Common Attribute Support Network for image instance and panoptic segmentation0
Boundary-preserving Mask R-CNNCode1
Unseen Object Instance Segmentation for Robotic EnvironmentsCode1
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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