SOTAVerified

Semantic Segmentation

Papers

Showing 151200 of 14763 papers

TitleStatusHype
FDA: Fourier Domain Adaptation for Semantic SegmentationCode3
Merlin: A Vision Language Foundation Model for 3D Computed TomographyCode3
Generalized Decoding for Pixel, Image, and LanguageCode3
MTP: Advancing Remote Sensing Foundation Model via Multi-Task PretrainingCode3
Exploring Regional Clues in CLIP for Zero-Shot Semantic SegmentationCode3
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image SegmentationCode3
Nuclei instance segmentation and classification in histopathology images with StarDistCode3
Anything-3D: Towards Single-view Anything Reconstruction in the WildCode3
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition TasksCode3
FastViT: A Fast Hybrid Vision Transformer using Structural ReparameterizationCode3
Personalize Segment Anything Model with One ShotCode3
PlainMamba: Improving Non-Hierarchical Mamba in Visual RecognitionCode3
Point Transformer V3: Simpler, Faster, StrongerCode3
PSALM: Pixelwise SegmentAtion with Large Multi-Modal ModelCode3
Generalized Robot 3D Vision-Language Model with Fast Rendering and Pre-Training Vision-Language AlignmentCode3
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360^Code3
UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language InterfaceCode3
Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation ModelsCode3
MogaNet: Multi-order Gated Aggregation NetworkCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryCode2
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object SegmentationCode2
ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and TransformerCode2
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt TuningCode2
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision ApplicationsCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
Earth-Adapter: Bridge the Geospatial Domain Gaps with Mixture of Frequency AdaptationCode2
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural NetworksCode2
Efficient 3D Semantic Segmentation with Superpoint TransformerCode2
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT AdaptationCode2
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic EnvironmentsCode2
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic SegmentationCode2
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic SegmentationCode2
Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object SegmentationCode2
E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance SegmentationCode2
DreamColour: Controllable Video Colour Editing without TrainingCode2
DreamLIP: Language-Image Pre-training with Long CaptionsCode2
Domain Adaptation with a Single Vision-Language EmbeddingCode2
AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditionsCode2
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image SegmentationCode2
DSNet: A Novel Way to Use Atrous Convolutions in Semantic SegmentationCode2
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic SegmentationCode2
Efficient Video Object Segmentation via Modulated Cross-Attention MemoryCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
AiTLAS: Artificial Intelligence Toolbox for Earth ObservationCode2
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative DataCode2
A large annotated medical image dataset for the development and evaluation of segmentation algorithmsCode2
1st Place Solution for PSG competition with ECCV'22 SenseHuman WorkshopCode2
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
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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