Existing class-incremental learning methods struggle in multi-label scenarios (MLCIL) due to the inherent contradiction of learning objectives arising from co-occurring and incomplete labels. We argue that the core obstacle is the model's ambiguous boundary between known and unknown knowledge, which undermines historic...
Ao-Ting Zhang, Dong-Bao Yang, Chang Liu et al.· 0 citations
RAO-Nav, short for Reasoning All-in-One OLM, a deployment pipeline for zero-shot SAVN, a deployment framework that surpasses existing state-of-the-art baselines on public SAVN benchmarks without using any training data is introduced.
GS-IQA is proposed, a framework that reformulates IQA as a progressive Where--What--How diagnosis, emulating the human perceptual process from an initial glance to closer scrutiny, and consistently surpasses state-of-the-art methods in distortion localization, recognition, and severity estimation.
Ao-Ting Zhang, Ming-Ze Gao, Dong-Bao Yang et al.· 0 citations
The MaP is proposed, a unified framework that seamlessly harmonizes divergent GUI navigation tasks and effectively mitigates gradient conflicts and significantly outperforms the direct mixture training, establishing a robust paradigm for multi-task GUI navigation.
Yan Zhang, Pei Fu, Dai-Qing Wu et al.· 0 citations
This work introduces Emotion Statement Judgement (ESJ), a statement-verification formulation that preserves the expressiveness of the input space while constraining outputs to discriminative judgements, and builds EmObserver, an emotion-oriented MLLM optimized on ESJ through an elaborate multi-stage recipe.
Daiqing Wu, Dong-Bao Yang, Jiashu Yao et al.· arXiv.org· 1 citation
To minimize knowledge interference during fusion, this work presents a gradient-based orthogonal refreshing strategy that projects gradient updates of new domains onto the orthogonal complement of the fused historical subspace, supporting continual adaptation without forgetting.
Aoting Zhang, Dongbao Yang, Chang Liu et al.· arXiv.org· 0 citations
HuyuanOCR-1.5 ranks among the top-tier end-to-end OCR solutions on OmniDocBench v1.6 while achieving new performance milestones across these long-tail tasks, and proposes Agentic Data Flow, an agent-driven data construction system that transforms model weaknesses into executable data requirements and autonomously perfo...
A generative detector that localizes tampering by estimating the local restoration cost required to align a query image with authentic visual-text statistics, rather than by learning forgery-specific decision boundaries is proposed, and Sparse-Constraint Rectified Flow is introduced, a detector-oriented adaptation of F...
Jiangling Zhang, Shuxuan Gao, Zeyu Chen et al.· 0 citations
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