Saved in:
| Main Authors: | Cancilla, Kylie, Moore, Alexander, Saini, Amar, Carrano, Carmen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.04628 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video
by: Moore, Alexander, et al.
Published: (2025)
by: Moore, Alexander, et al.
Published: (2025)
Addressing Issues with Working Memory in Video Object Segmentation
by: Bromley, Clayton, et al.
Published: (2024)
by: Bromley, Clayton, et al.
Published: (2024)
Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment
by: Agnolucci, Lorenzo, et al.
Published: (2024)
by: Agnolucci, Lorenzo, et al.
Published: (2024)
HiRQA: Hierarchical Ranking and Quality Alignment for Opinion-Unaware Image Quality Assessment
by: Ramesh, Vaishnav, et al.
Published: (2025)
by: Ramesh, Vaishnav, et al.
Published: (2025)
An Analysis of Data Transformation Effects on Segment Anything 2
by: Bromley, Clayton, et al.
Published: (2025)
by: Bromley, Clayton, et al.
Published: (2025)
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
by: Dong, Guanglu, et al.
Published: (2025)
by: Dong, Guanglu, et al.
Published: (2025)
Opinion-Unaware Blind Image Quality Assessment using Multi-Scale Deep Feature Statistics
by: Ni, Zhangkai, et al.
Published: (2024)
by: Ni, Zhangkai, et al.
Published: (2024)
Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Flexible and Effective Paradigm
by: Yan, Jiebin, et al.
Published: (2025)
by: Yan, Jiebin, et al.
Published: (2025)
Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Unified and Generalized Approach
by: Yan, Jiebin, et al.
Published: (2026)
by: Yan, Jiebin, et al.
Published: (2026)
MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation
by: Chen, Zewen, et al.
Published: (2024)
by: Chen, Zewen, et al.
Published: (2024)
Seeing Objects in a Cluttered World: Computational Objectness from Motion in Video
by: Poland, Douglas, et al.
Published: (2024)
by: Poland, Douglas, et al.
Published: (2024)
No-Reference Point Cloud Quality Assessment via Graph Convolutional Network
by: Chen, Wu, et al.
Published: (2024)
by: Chen, Wu, et al.
Published: (2024)
Attention-Gated Convolutional Networks for Scanner-Agnostic Quality Assessment
by: Bakhale, Chinmay, et al.
Published: (2026)
by: Bakhale, Chinmay, et al.
Published: (2026)
InspectionV3: Enhancing Tobacco Quality Assessment with Deep Convolutional Neural Networks for Automated Workshop Management
by: Wei, Yao, et al.
Published: (2025)
by: Wei, Yao, et al.
Published: (2025)
Hierarchical Graph Attention Network for No-Reference Omnidirectional Image Quality Assessment
by: Yang, Hao, et al.
Published: (2025)
by: Yang, Hao, et al.
Published: (2025)
Image Aesthetics Assessment using Multi Channel Convolutional Neural Networks
by: Doshi, Nishi, et al.
Published: (2019)
by: Doshi, Nishi, et al.
Published: (2019)
DPC-QA Net: A No-Reference Dual-Stream Perceptual and Cellular Quality Assessment Network for Histopathology Images
by: Yang, Qijun, et al.
Published: (2025)
by: Yang, Qijun, et al.
Published: (2025)
VQ-VA World: Towards High-Quality Visual Question-Visual Answering
by: Gou, Chenhui, et al.
Published: (2025)
by: Gou, Chenhui, et al.
Published: (2025)
HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression
by: Yi, Niu, et al.
Published: (2025)
by: Yi, Niu, et al.
Published: (2025)
FineVQ: Fine-Grained User Generated Content Video Quality Assessment
by: Duan, Huiyu, et al.
Published: (2024)
by: Duan, Huiyu, et al.
Published: (2024)
No-Reference Rendered Video Quality Assessment: Dataset and Metrics
by: Yang, Sipeng, et al.
Published: (2025)
by: Yang, Sipeng, et al.
Published: (2025)
Normalized Convolutional Neural Network
by: Kim, Dongsuk, et al.
Published: (2020)
by: Kim, Dongsuk, et al.
Published: (2020)
Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality Assumption
by: Chen, Du, et al.
Published: (2025)
by: Chen, Du, et al.
Published: (2025)
FrameVGGT: Geometry-Aligned Frame-Level Memory for Bounded Streaming VGGT
by: Xu, Zhisong, et al.
Published: (2026)
by: Xu, Zhisong, et al.
Published: (2026)
Revisiting Vision Language Foundations for No-Reference Image Quality Assessment
by: Yadav, Ankit, et al.
Published: (2025)
by: Yadav, Ankit, et al.
Published: (2025)
Preference-Guided Debiasing for No-Reference Enhancement Image Quality Assessment
by: Gao, Shiqi, et al.
Published: (2026)
by: Gao, Shiqi, et al.
Published: (2026)
Contrastive Local Manifold Learning for No-Reference Image Quality Assessment
by: Huang, Zihao, et al.
Published: (2024)
by: Huang, Zihao, et al.
Published: (2024)
Self Expanding Convolutional Neural Networks
by: Appolinary, Blaise, et al.
Published: (2024)
by: Appolinary, Blaise, et al.
Published: (2024)
RFAConv: Receptive-Field Attention Convolution for Improving Convolutional Neural Networks
by: Zhang, Xin, et al.
Published: (2023)
by: Zhang, Xin, et al.
Published: (2023)
LG-VQ: Language-Guided Codebook Learning
by: Liang, Guotao, et al.
Published: (2024)
by: Liang, Guotao, et al.
Published: (2024)
Multi-task Feature Enhancement Network for No-Reference Image Quality Assessment
by: Yu, Li
Published: (2024)
by: Yu, Li
Published: (2024)
Non-Aligned Reference Image Quality Assessment for Novel View Synthesis
by: Ghildyal, Abhijay, et al.
Published: (2025)
by: Ghildyal, Abhijay, et al.
Published: (2025)
Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment
by: Yun, Wulian, et al.
Published: (2024)
by: Yun, Wulian, et al.
Published: (2024)
VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning
by: Zhang, Xuanyu, et al.
Published: (2025)
by: Zhang, Xuanyu, et al.
Published: (2025)
Distributed Convolutional Neural Networks for Object Recognition
by: Sun, Liang
Published: (2026)
by: Sun, Liang
Published: (2026)
Physical Rule-Guided Convolutional Neural Network
by: Gupta, Kishor Datta, et al.
Published: (2024)
by: Gupta, Kishor Datta, et al.
Published: (2024)
Weed Detection using Convolutional Neural Network
by: Tripathi, Santosh Kumar, et al.
Published: (2025)
by: Tripathi, Santosh Kumar, et al.
Published: (2025)
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
by: He, Yihui, et al.
Published: (2019)
by: He, Yihui, et al.
Published: (2019)
Reference-Free Image Quality Assessment for Virtual Try-On via Human Feedback
by: Hirakawa, Yuki, et al.
Published: (2026)
by: Hirakawa, Yuki, et al.
Published: (2026)
On the Efficiency of Convolutional Neural Networks
by: Lavin, Andrew
Published: (2024)
by: Lavin, Andrew
Published: (2024)
Similar Items
-
Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video
by: Moore, Alexander, et al.
Published: (2025) -
Addressing Issues with Working Memory in Video Object Segmentation
by: Bromley, Clayton, et al.
Published: (2024) -
Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment
by: Agnolucci, Lorenzo, et al.
Published: (2024) -
HiRQA: Hierarchical Ranking and Quality Alignment for Opinion-Unaware Image Quality Assessment
by: Ramesh, Vaishnav, et al.
Published: (2025) -
An Analysis of Data Transformation Effects on Segment Anything 2
by: Bromley, Clayton, et al.
Published: (2025)