SOTAVerified

Semantic Segmentation

Papers

Showing 30513100 of 14763 papers

TitleStatusHype
Attentive Symmetric Autoencoder for Brain MRI SegmentationCode1
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
Pixel-Level Bijective Matching for Video Object SegmentationCode1
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image SegmentationCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
Tent: Fully Test-time Adaptation by Entropy MinimizationCode1
Fully Sparse Fusion for 3D Object DetectionCode1
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agentCode1
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern AnalysisCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
Learning Euler's Elastica Model for Medical Image SegmentationCode1
Attribute-guided image generation from layoutCode1
DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationCode1
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image SegmentationCode1
FuseNet: Self-Supervised Dual-Path Network for Medical Image SegmentationCode1
FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural NetworksCode1
Agronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles using Semantic Segmentation and Semantic Line DetectionCode1
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object DetectionCode1
DEAL: Difficulty-aware Active Learning for Semantic SegmentationCode1
FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image SegmentationCode1
Learning Fast and Robust Target Models for Video Object SegmentationCode1
Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial ImagesCode1
Audio-Visual Instance SegmentationCode1
GeneA-SLAM2: Dynamic SLAM with AutoEncoder-Preprocessed Genetic Keypoints Resampling and Depth Variance-Guided Dynamic Region RemovalCode1
Learning Dynamic Routing for Semantic SegmentationCode1
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional FeaturesCode1
Learning Efficient Unsupervised Satellite Image-based Building Damage DetectionCode1
CP2: Copy-Paste Contrastive Pretraining for Semantic SegmentationCode1
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic SegmentationCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
Augmentation for small object detectionCode1
GazeSAM: What You See is What You SegmentCode1
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance SegmentationCode1
GCtx-UNet: Efficient Network for Medical Image SegmentationCode1
Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack DetectorsCode1
Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial ImagesCode1
Learning Dense Object Descriptors from Multiple Views for Low-shot Category GeneralizationCode1
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-ResolutionCode1
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic SegmentationCode1
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical SegmentationCode1
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image RestorationCode1
Generalizable Model-agnostic Semantic Segmentation via Target-specific NormalizationCode1
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic SegmentationCode1
CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate SegmentationCode1
CRIS: CLIP-Driven Referring Image SegmentationCode1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
DC-SAM: In-Context Segment Anything in Images and Videos via Dual ConsistencyCode1
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images SegmentationCode1
DB-SAM: Delving into High Quality Universal Medical Image SegmentationCode1
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoCode1
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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