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 76100 of 2262 papers

TitleStatusHype
A Temporal Modeling Framework for Video Pre-Training on Video Instance Segmentation0
Should we pre-train a decoder in contrastive learning for dense prediction tasks?0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments0
Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and TrackingCode0
Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian SplattingCode2
Ship Detection in Remote Sensing Imagery for Arbitrarily Oriented Object Detection0
3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different SensorsCode0
COIN: Confidence Score-Guided Distillation for Annotation-Free Cell SegmentationCode0
CyclePose -- Leveraging Cycle-Consistency for Annotation-Free Nuclei Segmentation in Fluorescence MicroscopyCode0
SAS: Segment Any 3D Scene with Integrated 2D PriorsCode1
Aligning Instance-Semantic Sparse Representation towards Unsupervised Object Segmentation and Shape Abstraction with Repeatable Primitives0
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model0
Segment Anything, Even Occluded0
S4M: Segment Anything with 4 Extreme Points0
TomatoScanner: phenotyping tomato fruit based on only RGB imageCode0
Joint 3D Point Cloud Segmentation using Real-Sim Loop: From Panels to Trees and Branches0
Periodontal Bone Loss Analysis via Keypoint Detection With Heuristic Post-Processing0
Automatic Drywall Analysis for Progress Tracking and Quality Control in Construction0
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model0
Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide ImagesCode0
Label-Efficient LiDAR Panoptic Segmentation0
OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging0
UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language InterfaceCode3
Training-Free Dataset Pruning for Instance SegmentationCode0
Ranking pre-trained segmentation models for zero-shot transferability0
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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