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 826850 of 2262 papers

TitleStatusHype
Prohibited Items Segmentation via Occlusion-aware Bilayer ModelingCode0
ALBERT: Advanced Localization and Bidirectional Encoder Representations from Transformers for Automotive Damage Evaluation0
Accurate and efficient zero-shot 6D pose estimation with frozen foundation models0
OpenSplat3D: Open-Vocabulary 3D Instance Segmentation using Gaussian Splatting0
SAM2Auto: Auto Annotation Using FLASH0
You Only Estimate Once: Unified, One-stage, Real-Time Category-level Articulated Object 6D Pose Estimation for Robotic Grasping0
CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx0
Gen-n-Val: Agentic Image Data Generation and Validation0
Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery0
SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds0
ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions0
CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation0
ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of ThoughtsCode0
Detailed Evaluation of Modern Machine Learning Approaches for Optic Plastics Sorting0
gen2seg: Generative Models Enable Generalizable Instance Segmentation0
Instance Segmentation for Point Sets0
FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching0
Industrial Synthetic Segment Pre-training0
Enhancing Transformers Through Conditioned Embedded Tokens0
SoftPQ: Robust Instance Segmentation Evaluation via Soft Matching and Tunable ThresholdsCode0
SurgPose: Generalisable Surgical Instrument Pose Estimation using Zero-Shot Learning and Stereo Vision0
Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation0
The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning0
Vision Foundation Model Embedding-Based Semantic Anomaly Detection0
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model0
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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