SOTAVerified

Semantic Segmentation

Papers

Showing 33763400 of 14763 papers

TitleStatusHype
Instance Segmentation XXL-CT Challenge of a Historic Airplane0
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classificationCode1
InstanceDiffusion: Instance-level Control for Image GenerationCode4
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAMCode3
SPCTNet: A Series-Parallel CNN and Transformer Network for 3D Medical Image Segmentation0
Spatio-temporal Prompting Network for Robust Video Feature ExtractionCode1
Deep Spectral Improvement for Unsupervised Image Instance SegmentationCode0
M^3Face: A Unified Multi-Modal Multilingual Framework for Human Face Generation and Editing0
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation0
Region-Based Representations RevisitedCode1
Gazebo Plants: Simulating Plant-Robot Interaction with Cosserat Rods0
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image SegmentationCode2
Revisiting Generative Adversarial Networks for Binary Semantic Segmentation on Imbalanced DatasetsCode0
Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation NetworkCode0
Decomposition-based and Interference Perception for Infrared and Visible Image Fusion in Complex Scenes0
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning0
CoFiNet: Unveiling Camouflaged Objects with Multi-Scale Finesse0
Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysisCode0
Motion Mapping Cognition: A Nondecomposable Primary Process in Human Vision0
Convolution kernel adaptation to calibrated fisheyeCode0
Scale Equalization for Multi-Level Feature FusionCode0
Delving into Decision-based Black-box Attacks on Semantic Segmentation0
VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and ClassificationCode0
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation BaselineCode1
A Manifold Representation of the Key in Vision Transformers0
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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
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation 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