SOTAVerified

Semantic Segmentation

Papers

Showing 50765100 of 14763 papers

TitleStatusHype
RRSIS: Referring Remote Sensing Image Segmentation0
Extending CLIP's Image-Text Alignment to Referring Image Segmentation0
A Client-server Deep Federated Learning for Cross-domain Surgical Image SegmentationCode0
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation0
C^3PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation0
LoSh: Long-Short Text Joint Prediction Network for Referring Video Object SegmentationCode1
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation0
BPKD: Boundary Privileged Knowledge Distillation For Semantic SegmentationCode1
Efficient 3D Semantic Segmentation with Superpoint TransformerCode2
Compositionally Equivariant Representation Learning0
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification0
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiONCode1
Deep learning for Background Replacement in Video ConferencingCode0
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object SegmentationCode1
AerialFormer: Multi-resolution Transformer for Aerial Image SegmentationCode1
Volume-DROID: A Real-Time Implementation of Volumetric Mapping with DROID-SLAMCode1
Revisiting Token Pruning for Object Detection and Instance SegmentationCode1
PVPUFormer: Probabilistic Visual Prompt Unified Transformer for Interactive Image SegmentationCode1
3rd Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation0
Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks0
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder0
Topology-Aware Uncertainty for Image SegmentationCode1
SegViTv2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision TransformersCode2
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms0
How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks0
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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