Saved in:
| Main Authors: | Dai, Boyang, Chen, Chaoqi, Yu, Yizhou |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.07821 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detection
by: Dai, Boyang, et al.
Published: (2026)
by: Dai, Boyang, et al.
Published: (2026)
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
by: Chen, Junkun, et al.
Published: (2024)
by: Chen, Junkun, et al.
Published: (2024)
Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension
by: Xu, Haoran, et al.
Published: (2026)
by: Xu, Haoran, et al.
Published: (2026)
Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
by: Pei, Gaozheng, et al.
Published: (2025)
by: Pei, Gaozheng, et al.
Published: (2025)
Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields
by: Ma, Rongkai, et al.
Published: (2024)
by: Ma, Rongkai, et al.
Published: (2024)
Divide and Conquer: Static-Dynamic Collaboration for Few-Shot Class-Incremental Learning
by: Bao, Kexin, et al.
Published: (2026)
by: Bao, Kexin, et al.
Published: (2026)
Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation
by: Babu, Krishan Agyakari Raja, et al.
Published: (2024)
by: Babu, Krishan Agyakari Raja, et al.
Published: (2024)
Divide-and-Conquer Inference for Large-Scale Visual Recognition with Multimodal Large Language Models
by: Ye, Zhipeng, et al.
Published: (2026)
by: Ye, Zhipeng, et al.
Published: (2026)
A Modern Look at Simplicity Bias in Image Classification Tasks
by: Chang, Xiaoguang, et al.
Published: (2025)
by: Chang, Xiaoguang, et al.
Published: (2025)
Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling
by: Son, Hojun, et al.
Published: (2025)
by: Son, Hojun, et al.
Published: (2025)
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
by: Zhang, Aoting, et al.
Published: (2025)
by: Zhang, Aoting, et al.
Published: (2025)
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
by: Chen, Chaoqi, et al.
Published: (2022)
by: Chen, Chaoqi, et al.
Published: (2022)
Retrieval-Augmented Prompt for OOD Detection
by: Han, Ruisong, et al.
Published: (2025)
by: Han, Ruisong, et al.
Published: (2025)
Mitigating Query Selection Bias in Referring Video Object Segmentation
by: Zhang, Dingwei, et al.
Published: (2025)
by: Zhang, Dingwei, et al.
Published: (2025)
Divide and Conquer Self-Supervised Learning for High-Content Imaging
by: Farndale, Lucas, et al.
Published: (2025)
by: Farndale, Lucas, et al.
Published: (2025)
DC-Net: Divide-and-Conquer for Salient Object Detection
by: Zhu, Jiayi, et al.
Published: (2023)
by: Zhu, Jiayi, et al.
Published: (2023)
Feature-Space Semantic Invariance: Enhanced OOD Detection for Open-Set Domain Generalization
by: Wang, Haoliang, et al.
Published: (2024)
by: Wang, Haoliang, et al.
Published: (2024)
Mitigating Long-Tail Bias in HOI Detection via Adaptive Diversity Cache
by: Jiang, Yuqiu, et al.
Published: (2025)
by: Jiang, Yuqiu, et al.
Published: (2025)
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
by: Chen, Mengyuan, et al.
Published: (2024)
by: Chen, Mengyuan, et al.
Published: (2024)
Attention at Rest Stays at Rest: Breaking Visual Inertia for Cognitive Hallucination Mitigation
by: Gong, Boyang, et al.
Published: (2026)
by: Gong, Boyang, et al.
Published: (2026)
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization
by: Nguyen, Dang, et al.
Published: (2024)
by: Nguyen, Dang, et al.
Published: (2024)
An Empirical Analysis of VLM-based OOD Detection: Mechanisms, Advantages, and Sensitivity
by: Lee, Yuxiao, et al.
Published: (2025)
by: Lee, Yuxiao, et al.
Published: (2025)
ST-SimDiff: Balancing Spatiotemporal Similarity and Difference for Efficient Video Understanding with MLLMs
by: Luo, Bingjun, et al.
Published: (2026)
by: Luo, Bingjun, et al.
Published: (2026)
Prototype Fusion: A Training-Free Multi-Layer Approach to OOD Detection
by: Gul, Shreen, et al.
Published: (2026)
by: Gul, Shreen, et al.
Published: (2026)
Scalable Ensemble Diversification for OOD Generalization and Detection
by: Rubinstein, Alexander, et al.
Published: (2024)
by: Rubinstein, Alexander, et al.
Published: (2024)
GroundCount: Grounding Vision-Language Models with Object Detection for Mitigating Counting Hallucinations
by: Chen, Boyuan, et al.
Published: (2026)
by: Chen, Boyuan, et al.
Published: (2026)
Quantifying Context Bias in Domain Adaptation for Object Detection
by: Son, Hojun, et al.
Published: (2024)
by: Son, Hojun, et al.
Published: (2024)
DINOv3 Meets YOLO26 for Weed Detection in Vegetable Crops
by: Deng, Boyang, et al.
Published: (2026)
by: Deng, Boyang, et al.
Published: (2026)
Bias Detection and Rotation-Robustness Mitigation in Vision-Language Models and Generative Image Models
by: Mithila, Tarannum
Published: (2026)
by: Mithila, Tarannum
Published: (2026)
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
by: Zang, Yuhang, et al.
Published: (2024)
by: Zang, Yuhang, et al.
Published: (2024)
TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision
by: Pokhrel, Sandesh, et al.
Published: (2024)
by: Pokhrel, Sandesh, et al.
Published: (2024)
Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount
by: Ma, Yanbiao, et al.
Published: (2025)
by: Ma, Yanbiao, et al.
Published: (2025)
CMOOD: Concept-based Multi-label OOD Detection
by: Liu, Zhendong, et al.
Published: (2024)
by: Liu, Zhendong, et al.
Published: (2024)
A Geometric Explanation of the Likelihood OOD Detection Paradox
by: Kamkari, Hamidreza, et al.
Published: (2024)
by: Kamkari, Hamidreza, et al.
Published: (2024)
From Detection to Mitigation: Addressing Bias in Deep Learning Models for Chest X-Ray Diagnosis
by: Mottez, Clemence, et al.
Published: (2025)
by: Mottez, Clemence, et al.
Published: (2025)
D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition
by: Huang, Yiyang, et al.
Published: (2025)
by: Huang, Yiyang, et al.
Published: (2025)
Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs
by: Yu, Liu, et al.
Published: (2025)
by: Yu, Liu, et al.
Published: (2025)
BAMI: Training-Free Bias Mitigation in GUI Grounding
by: Zhang, Borui, et al.
Published: (2026)
by: Zhang, Borui, et al.
Published: (2026)
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
by: Dong, Hao, et al.
Published: (2024)
by: Dong, Hao, et al.
Published: (2024)
Mitigating Easy Option Bias in Multiple-Choice Question Answering
by: Zhang, Hao, et al.
Published: (2025)
by: Zhang, Hao, et al.
Published: (2025)
Similar Items
-
CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detection
by: Dai, Boyang, et al.
Published: (2026) -
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
by: Chen, Junkun, et al.
Published: (2024) -
Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension
by: Xu, Haoran, et al.
Published: (2026) -
Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
by: Pei, Gaozheng, et al.
Published: (2025) -
Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields
by: Ma, Rongkai, et al.
Published: (2024)