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Hyperbolic Structured Classification for Robust Single Positive Multi-label Learning
Yiming Lin, Shang Wang, Junkai Zhou +3
Single Positive Multi-Label Learning (SPMLL) addresses the challenging scenario where each training sample is annotated with only one positive label despite potentially belonging t…
Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch?
Yijie Hu, Zihao Zhou, Kaizhu Huang +2
Math reasoning has been one crucial ability of large language models (LLMs), where significant advancements have been achieved in recent years. However, most efforts focus on LLMs…
Can GRPO Boost Complex Multimodal Table Understanding?
Xiaoqiang Kang, Shengen Wu, Zimu Wang +7
Existing table understanding methods face challenges due to complex table structures and intricate logical reasoning. While supervised finetuning (SFT) dominates existing research,…
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning
Yiming Lin, Yuchen Niu, Shang Wang +3
Context recognition (SR) is a fundamental task in computer vision that aims to extract structured semantic summaries from images by identifying key events and their associated enti…
Saving for the future: Enhancing generalization via partial logic regularization
Zhaorui Tan, Yijie Hu, Xi Yang +3
Generalization remains a significant challenge in visual classification tasks, particularly in handling unknown classes in real-world applications. Existing research focuses on the…
Exploiting Layer Normalization Fine-tuning in Visual Transformer Foundation Models for Classification
Zhaorui Tan, Tan Pan, Kaizhu Huang +8
LayerNorm is pivotal in Vision Transformers (ViTs), yet its fine-tuning dynamics under data scarcity and domain shifts remain underexplored. This paper shows that shifts in LayerNo…
GeoSDF: Plane Geometry Diagram Synthesis via Signed Distance Field
Chengrui Zhang, Maizhen Ning, Tianyi Liu +4
Plane Geometry Diagram Synthesis has been a crucial task in computer graphics, with applications ranging from educational tools to AI-driven mathematical reasoning. Traditionally,…
DvD: Unleashing a Generative Paradigm for Document Dewarping via Coordinates-based Diffusion Model
Weiguang Zhang, Huangcheng Lu, Maizhen Ning +4
Document dewarping aims to rectify deformations in photographic document images, thus improving text readability, which has attracted much attention and made great progress, but it…