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Semantic Segmentation

Papers

Showing 701725 of 14763 papers

TitleStatusHype
OneFormer3D: One Transformer for Unified Point Cloud SegmentationCode2
Customized Segment Anything Model for Medical Image SegmentationCode2
DaViT: Dual Attention Vision TransformersCode2
OpenScene: 3D Scene Understanding with Open VocabulariesCode2
Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion ModelsCode2
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic CorrespondenceCode2
BEVCar: Camera-Radar Fusion for BEV Map and Object SegmentationCode2
Open-World Entity SegmentationCode2
CorrCLIP: Reconstructing Correlations in CLIP with Off-the-Shelf Foundation Models for Open-Vocabulary Semantic SegmentationCode2
Is Your LiDAR Placement Optimized for 3D Scene Understanding?Code2
CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic SegmentationCode2
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image ClassificationCode2
Coordinate Attention for Efficient Mobile Network DesignCode2
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and TrackingCode2
PA-SAM: Prompt Adapter SAM for High-Quality Image SegmentationCode2
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-scale AttentionCode2
Scalable Video Object Segmentation with Identification MechanismCode2
PEM: Prototype-based Efficient MaskFormer for Image SegmentationCode2
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse TransformersCode2
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIPCode2
Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual LossCode2
PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease SegmentationCode2
Agent Attention: On the Integration of Softmax and Linear AttentionCode2
Beyond Self-attention: External Attention using Two Linear Layers for Visual TasksCode2
Co-Occurrent Features in Semantic 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