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SLICK: Selective Localization and Instance Calibration for Knowledge-Enhanced Car Damage Segmentation in Automotive Insurance

SLICK: Selective Localization and Instance Calibration for Knowledge-Enhanced Car Damage Segmentation in Automotive Insurance

12 June 2025
Teerapong Panboonyuen
ArXiv (abs)PDFHTML

Papers citing "SLICK: Selective Localization and Instance Calibration for Knowledge-Enhanced Car Damage Segmentation in Automotive Insurance"

21 / 21 papers shown
Title
Singular Value Decomposition on Kronecker Adaptation for Large Language Model
Singular Value Decomposition on Kronecker Adaptation for Large Language Model
Yee Hin Chong
Peng Qu
12
0
0
18 Jun 2025
Two Heads Are Better than One: Simulating Large Transformers with Small Ones
Two Heads Are Better than One: Simulating Large Transformers with Small Ones
Hantao Yu
Josh Alman
10
0
0
13 Jun 2025
Minimalist Softmax Attention Provably Learns Constrained Boolean Functions
Minimalist Softmax Attention Provably Learns Constrained Boolean Functions
Jerry Yao-Chieh Hu
Xiwen Zhang
Maojiang Su
Zhao Song
Han Liu
MLT
234
1
0
26 May 2025
Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse
Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse
Josh Alman
Zhao Song
98
2
0
22 May 2025
Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform
Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform
Josh Alman
Zhao Song
101
16
0
17 May 2025
T2VTextBench: A Human Evaluation Benchmark for Textual Control in Video Generation Models
T2VTextBench: A Human Evaluation Benchmark for Textual Control in Video Generation Models
Xuyang Guo
Jiayan Huo
Zhenmei Shi
Zhao Song
Jiahao Zhang
Jiale Zhao
VGen
493
2
0
08 May 2025
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
Haozheng Luo
Chenghao Qiu
Maojiang Su
Zhihan Zhou
Zoe Mehta
Guo Ye
Jerry Yao-Chieh Hu
Han Liu
AAML
100
1
0
01 May 2025
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
Jiangxuan Long
Zhao Song
Chiwun Yang
AI4TS
480
0
0
18 Mar 2025
Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches
Yifang Chen
Xuyang Guo
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao Song
103
3
0
03 Mar 2025
When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time?
When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time?
Chenyang Li
Yingyu Liang
Zhenmei Shi
Zhao Song
74
5
0
24 Feb 2025
On Computational Limits of FlowAR Models: Expressivity and Efficiency
On Computational Limits of FlowAR Models: Expressivity and Efficiency
Chengyue Gong
Yekun Ke
Xiaoyu Li
Yingyu Liang
Zhizhou Sha
Zhenmei Shi
Zhao Song
150
4
0
23 Feb 2025
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
Yingyu Liang
Zhizhou Sha
Zhenmei Shi
Zhao Song
Yufa Zhou
177
19
0
21 Feb 2025
Circuit Complexity Bounds for Visual Autoregressive Model
Circuit Complexity Bounds for Visual Autoregressive Model
Yekun Ke
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao Song
100
8
0
08 Jan 2025
Theoretical Constraints on the Expressive Power of $\mathsf{RoPE}$-based
  Tensor Attention Transformers
Theoretical Constraints on the Expressive Power of RoPE\mathsf{RoPE}RoPE-based Tensor Attention Transformers
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao Song
Mingda Wan
329
9
0
23 Dec 2024
Fine-grained Attention I/O Complexity: Comprehensive Analysis for
  Backward Passes
Fine-grained Attention I/O Complexity: Comprehensive Analysis for Backward Passes
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao Song
Yufa Zhou
94
18
0
12 Oct 2024
Fundamental Limitations on Subquadratic Alternatives to Transformers
Fundamental Limitations on Subquadratic Alternatives to Transformers
Josh Alman
Hantao Yu
108
4
0
05 Oct 2024
Differentially Private Kernel Density Estimation
Differentially Private Kernel Density Estimation
Erzhi Liu
Jerry Yao-Chieh Hu
Alex Reneau
Zhao Song
Han Liu
137
3
0
03 Sep 2024
Do Large Language Models Have Compositional Ability? An Investigation
  into Limitations and Scalability
Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability
Zhuoyan Xu
Zhenmei Shi
Yingyu Liang
CoGeLRM
77
37
0
22 Jul 2024
Investigating Low-Rank Training in Transformer Language Models:
  Efficiency and Scaling Analysis
Investigating Low-Rank Training in Transformer Language Models: Efficiency and Scaling Analysis
Xiuying Wei
Skander Moalla
Razvan Pascanu
Çağlar Gülçehre
74
2
0
13 Jul 2024
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal
  Quantization levels and Rank Values trough Differentiable Bayesian Gates
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates
Cristian Meo
Ksenia Sycheva
Anirudh Goyal
Justin Dauwels
MQ
69
5
0
18 Jun 2024
Binary Hypothesis Testing for Softmax Models and Leverage Score Models
Binary Hypothesis Testing for Softmax Models and Leverage Score Models
Yeqi Gao
Yuzhou Gu
Zhao Song
53
0
0
09 May 2024
1