Semantics-aware dynamic localization and refinement for referring image segmentation

Semantics-aware dynamic localization and refinement for referring image segmentation

Referring image segmentation segments an image from a language expression. With the aim of producing high-quality masks, existing methods often adopt iterative learning approaches that rely on RNNs or stacked attention layers to refine vision-language features. Despite their complexity, RNN-based me...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak:	Yang, Z, Wang, J, Tang, Y, Chen, K, Zhao, H, Torr, PHS
Formatua:	Conference item
Hizkuntza:	English
Argitaratua:	AAAI Conference on Artificial Intelligence 2023

Antzeko izenburuak

LAVT: Language-Aware Vision Transformer for referring image segmentation
nork: Yang, Z, et al.
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Language-aware vision transformer for referring segmentation
nork: Yang, Z, et al.
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Scalable cascade inference for semantic image segmentation
nork: Sturgess, P, et al.
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Hierarchical interaction network for video object segmentation from referring expressions
nork: Yang, Z, et al.
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Local and blobal GANs with semantic-aware upsampling for image generation
nork: Tang, H, et al.
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Semantic-aware auto-encoders for self-supervised representation learning
nork: Wang, G, et al.
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On the robustness of semantic segmentation models to adversarial attacks
nork: Arnab, A, et al.
Argitaratua: (2019)

Dense semantic image segmentation with objects and attributes
nork: Zheng, S, et al.
Argitaratua: (2014)

Local class-specific and global image-level generative adversarial networks for semantic-guided scene generation
nork: Tang, H, et al.
Argitaratua: (2020)

Discovering class-specific pixels for weakly-supervised semantic segmentation
nork: Chaudhry, A, et al.
Argitaratua: (2017)

Deep FusionNet for point cloud semantic segmentation
nork: Zhang, F, et al.
Argitaratua: (2020)

Behind every domain there is a shift: adapting distortion-aware vision transformers for panoramic semantic segmentation
nork: Zhang, J, et al.
Argitaratua: (2024)

Vision transformers: from semantic segmentation to dense prediction
nork: Zhang, L, et al.
Argitaratua: (2024)

Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers
nork: Zheng, S, et al.
Argitaratua: (2021)

GeoNet++: Iterative geometric neural network with edge-aware refinement for joint depth and surface normal estimation
nork: Qi, X, et al.
Argitaratua: (2020)

Open vocabulary semantic segmentation with Patch Aligned Contrastive Learning
nork: Mukhoti, J, et al.
Argitaratua: (2023)

MLCRNet: Multi-Level Context Refinement for Semantic Segmentation in Aerial Images
nork: Zhifeng Huang, et al.
Argitaratua: (2022-03-01)

DDRNet: Dual-Domain Refinement Network for Remote Sensing Image Semantic Segmentation
nork: Zhenhao Yang, et al.
Argitaratua: (2024-01-01)

Geometric motion segmentation and model selection
nork: Torr, PHS
Argitaratua: (1998)

Refinement Co‐supervision network for real‐time semantic segmentation
nork: Yongsheng Dong, et al.
Argitaratua: (2023-09-01)

Scene-Aware Deep Networks for Semantic Segmentation of Images
nork: Zhike Yi, et al.
Argitaratua: (2019-01-01)

Adversarial Edge-Aware Image Colorization With Semantic Segmentation
nork: Guangqian Kong, et al.
Argitaratua: (2021-01-01)

Large-scale unsupervised semantic segmentation
nork: Gao, S, et al.
Argitaratua: (2022)

SECI-GAN: Semantic and edge completion for dynamic objects removal
nork: Pinto, F, et al.
Argitaratua: (2021)

HRRNet: Hierarchical Refinement Residual Network for Semantic Segmentation of Remote Sensing Images
nork: Shiwei Cheng, et al.
Argitaratua: (2023-02-01)

Semantic scene completion via semantic-aware guidance and interactive refinement transformer
nork: Xiao, Haihong, et al.
Argitaratua: (2025)

Dual context prior and refined prediction for semantic segmentation
nork: Long Chen, et al.
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Looking beyond single images for contrastive semantic segmentation learning
nork: Zhang, F, et al.
Argitaratua: (2021)

Associative hierarchical CRFs for object class image segmentation
nork: Ladický, L, et al.
Argitaratua: (2009)

Outlier detection and motion segmentation
nork: Torr, PHS, et al.
Argitaratua: (1993)

On the Semantics of Refinement Calculi
nork: Yang, H, et al.
Argitaratua: (2015)

Frequency-Aware Integrity Learning Network for Semantic Segmentation of Remote Sensing Images
nork: Penghan Yang, et al.
Argitaratua: (2025-01-01)

POSECUT: simultaneous segmentation and 3d pose estimation of humans using dynamic graph-cuts
nork: Bray, M, et al.
Argitaratua: (2006)

CRFNet: Context ReFinement Network used for semantic segmentation
nork: Taeghyun An, et al.
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Contextual Attention Refinement Network for Real-Time Semantic Segmentation
nork: Shijie Hao, et al.
Argitaratua: (2020-01-01)

Class-aware feature attention-based semantic segmentation on hyperspectral images.
nork: Prabu Sevugan, et al.
Argitaratua: (2025-01-01)

An Improved Boundary-Aware U-Net for Ore Image Semantic Segmentation
nork: Wei Wang, et al.
Argitaratua: (2021-04-01)

Simultaneous segmentation and pose estimation of humans using dynamic graph cuts
nork: Kohli, P, et al.
Argitaratua: (2008)

Behind every domain there is a shift: adapting distortion-aware vision transformers for panoramic semantic segmentation
nork: Zhang, J, et al.
Argitaratua: (2024)

Real-Time Semantic Segmentation of Remote Sensing Images Based on Bilateral Attention Refined Network
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