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Semantic Segmentation

Papers

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Showing 6251–6300 of 14763 papers

TitleStatusHype
Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation—0
A Hybrid Semantic-Geometric Approach for Clutter-Resistant Floorplan Generation from Building Point Clouds—0
Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model—0
How stable are Transferability Metrics evaluations?—0
Gaussian Dynamic Convolution for Efficient Single-Image Segmentation—0
Constrained Dominant sets and Its applications in computer vision—0
Gaussian Conditional Random Field Network for Semantic Segmentation—0
Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting—0
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention—0
ISCUTE: Instance Segmentation of Cables Using Text Embedding—0
GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation—0
Gauge Equivariant Spherical CNNs—0
How Well Can Vision Language Models See Image Details?—0
Constrained Deep Weak Supervision for Histopathology Image Segmentation—0
GAUDA: Generative Adaptive Uncertainty-guided Diffusion-based Augmentation for Surgical Segmentation—0
A Federated Approach for Fine-Grained Classification of Fashion Apparel—0
Deep learning for image segmentation: veritable or overhyped?—0
iShape: A First Step Towards Irregular Shape Instance Segmentation—0
A Survey of Semantic Segmentation—0
Gated Path Selection Network for Semantic Segmentation—0
A feature refinement module for light-weight semantic segmentation network—0
Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling—0
Gated CRF Loss for Weakly Supervised Semantic Image Segmentation—0
Consistent Video Instance Segmentation with Inter-Frame Recurrent Attention—0
Consistent Structural Relation Learning for Zero-Shot Segmentation—0
Gastric histopathology image segmentation using a hierarchical conditional random field—0
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation—0
Instance Scale Normalization for image understanding—0
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification—0
GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation—0
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment—0
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation—0
HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation—0
hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries—0
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation—0
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving—0
A survey of Object Classification and Detection based on 2D/3D data—0
GANtruth - an unpaired image-to-image translation method for driving scenarios—0
GA-NET: Global Attention Network for Point Cloud Semantic Segmentation—0
HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation—0
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects—0
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields—0
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks—0
HUGE2: a Highly Untangled Generative-model Engine for Edge-computing—0
Is Continual Learning Ready for Real-world Challenges?—0
Gamifying Video Object Segmentation—0
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images—0
Human De-occlusion: Invisible Perception and Recovery for Humans—0
Human Detection from 4D Radar Data in Low-Visibility Field Conditions—0
Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified