SOTAVerified

Semantic Segmentation

Papers

Showing 71767200 of 14763 papers

TitleStatusHype
Koopman-based spectral clustering of directed and time-evolving graphs0
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans0
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification0
Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach0
Deeply Cascaded U-Net for Multi-Task Image Processing0
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds0
Deeply Learning the Messages in Message Passing Inference0
Fluorescent Neuronal Cells v2: Multi-Task, Multi-Format Annotations for Deep Learning in Microscopy0
Kullback-Leibler Divergence-Based Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation0
FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation0
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds0
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms0
L2T-DLN: Learning to Teach with Dynamic Loss Network0
L^3U-net: Low-Latency Lightweight U-net Based Image Segmentation Model for Parallel CNN Processors0
Flow-guided Semi-supervised Video Object Segmentation0
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos0
Flow-free Video Object Segmentation0
Flower Categorization using Deep Convolutional Neural Networks0
FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching0
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation0
A Simple Baseline with Single-encoder for Referring Image Segmentation0
Flow Based Self-supervised Pixel Embedding for Image Segmentation0
Label-Efficient LiDAR Panoptic Segmentation0
Flow 2.0 -a flexible, scalable, cross-platform post-processing software for realtime phase contrast sequences0
ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified