SOTAVerified

Image Segmentation

Image Segmentation is a computer vision task that involves dividing an image into multiple segments or regions, each of which corresponds to a different object or part of an object. The goal of image segmentation is to assign a unique label or category to each pixel in the image, so that pixels with similar attributes are grouped together.

Papers

Showing 476500 of 5035 papers

TitleStatusHype
S^3-Mamba: Small-Size-Sensitive Mamba for Lesion SegmentationCode0
Spike2Former: Efficient Spiking Transformer for High-performance Image SegmentationCode1
Pitfalls of topology-aware image segmentation0
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated LearningCode0
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments0
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing TransformerCode0
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image SegmentationCode2
In-context learning for medical image segmentation0
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation0
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationCode1
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical ImagingCode0
MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image SegmentationCode1
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation0
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive ManufacturingCode0
Efficient Quantization-Aware Training on Segment Anything Model in Medical Images and Its DeploymentCode0
CATALOG: A Camera Trap Language-guided Contrastive Learning ModelCode0
MAL: Cluster-Masked and Multi-Task Pretraining for Enhanced xLSTM Vision Performance0
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer0
SPT: Sequence Prompt Transformer for Interactive Image Segmentation0
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations0
On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation0
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image SegmentationCode2
Embeddings are all you need! Achieving High Performance Medical Image Classification through Training-Free Embedding Analysis0
Automatic Image Annotation for Mapped Features Detection0
Intelligent Control of Robotic X-ray Devices using a Language-promptable Digital Twin0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92Unverified
2HetNetIoU0.83Unverified
3PMDIoU0.82Unverified
4SANetIoU0.8Unverified
5MirrorNetIoU0.79Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73Unverified
2HetNetIoU0.69Unverified
3SANetIoU0.67Unverified
4PMDIoU0.66Unverified
5MirrorNetIoU0.59Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8Unverified
2MAS-SAMmIoU0.79Unverified
3MASNetmIoU0.74Unverified
4ZoomNetmIoU0.74Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8Unverified
2PPSmIoUPartS58.6Unverified
3HIPIE (ResNet-50)mIoUPartS57.2Unverified
4JPPFmIoUPartS54.4Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74Unverified
2SAM2-UNetmIoU0.74Unverified
3MASNetmIoU0.73Unverified
4ZoomNetmIoU0.73Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6Unverified
2OneNete,4-SmAP0.552.75Unverified
3OneNeted,4mIoU14.9Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98Unverified
2PALEDDice0.98Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67Unverified
2UNetIoU0.57Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97Unverified