Cover Image

DCA: Dividing and Conquering Amnesia in Incremental Object Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Aoting, Yang, Dongbao, Liu, Chang, Hong, Xiaopeng, Shang, Miao, Zhou, Yu
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Specifying What You Know or Not for Multi-Label Class-Incremental Learning
by: Zhang, Aoting, et al.
Published: (2025)

DC-Net: Divide-and-Conquer for Salient Object Detection
by: Zhu, Jiayi, et al.
Published: (2023)

Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection
by: Tang, Hao, et al.
Published: (2024)

Divide and Conquer: Object Co-occurrence Helps Mitigate Simplicity Bias in OOD Detection
by: Dai, Boyang, et al.
Published: (2026)

Divide and Conquer: Static-Dynamic Collaboration for Few-Shot Class-Incremental Learning
by: Bao, Kexin, et al.
Published: (2026)

2D Gaussians Spatial Transport for Point-supervised Density Regression
by: Shang, Miao, et al.
Published: (2025)

Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
by: Cong, Runmin, et al.
Published: (2025)

Divide and Conquer: Reliable Multi-View Evidential Learning for Deepfake Detection
by: Kang, Xiaolu, et al.
Published: (2026)

Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models
by: Xiao, Junyuan, et al.
Published: (2026)

DCDM: Divide-and-Conquer Diffusion Models for Consistency-Preserving Video Generation
by: Zhao, Haoyu, et al.
Published: (2026)

MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation
by: Wang, Yanhui, et al.
Published: (2023)

Parameterized Prompt for Incremental Object Detection
by: An, Zijia, et al.
Published: (2025)

Incremental Object Detection with CLIP
by: Huang, Ziyue, et al.
Published: (2023)

Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble
by: Rolih, Blaž, et al.
Published: (2024)

Divide-and-Conquer: Dual-Hierarchical Optimization for Semantic 4D Gaussian Spatting
by: Yan, Zhiying, et al.
Published: (2025)

PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation
by: Xiong, Xinyu, et al.
Published: (2025)

Divide and Conquer: Grounding a Bleeding Areas in Gastrointestinal Image with Two-Stage Model
by: Lin, Yu-Fan, et al.
Published: (2024)

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer
by: Hu, Jin, et al.
Published: (2024)

Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery
by: Tu, Yuanpeng, et al.
Published: (2024)

IOR: Inversed Objects Replay for Incremental Object Detection
by: An, Zijia, et al.
Published: (2024)

UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification
by: Dai, Tianjie, et al.
Published: (2023)

EmoCaliber: Advancing Reliable Visual Emotion Comprehension via Confidence Verbalization and Calibration
by: Wu, Daiqing, et al.
Published: (2025)

Bridging Visual Affective Gap: Borrowing Textual Knowledge by Learning from Noisy Image-Text Pairs
by: Wu, Daiqing, et al.
Published: (2025)

Learning Causal Features for Incremental Object Detection
by: He, Zhenwei, et al.
Published: (2024)

DVPE: Divided View Position Embedding for Multi-View 3D Object Detection
by: Wang, Jiasen, et al.
Published: (2024)

DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation
by: Kim, Jihun, et al.
Published: (2025)

Divide, Ensemble and Conquer: The Last Mile on Unsupervised Domain Adaptation for Semantic Segmentation
by: Lian, Tao, et al.
Published: (2024)

DCARL: A Divide-and-Conquer Framework for Autoregressive Long-Trajectory Video Generation
by: Ouyang, Junyi, et al.
Published: (2026)

Divide-and-Conquer Approach to Holistic Cognition in High-Similarity Contexts with Limited Data
by: Wang, Shijie, et al.
Published: (2026)

Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation
by: Wang, Zhenyu, et al.
Published: (2024)

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
by: Wang, Chong, et al.
Published: (2024)

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection
by: Pham, Duc Thanh, et al.
Published: (2025)

No More Sibling Rivalry: Debiasing Human-Object Interaction Detection
by: Yang, Bin, et al.
Published: (2025)

Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation
by: Zhao, Xingyue, et al.
Published: (2025)

DCText: Scheduled Attention Masking for Visual Text Generation via Divide-and-Conquer Strategy
by: Song, Jaewoo, et al.
Published: (2025)

Temporal Divide-and-Conquer Anomaly Actions Localization in Semi-Supervised Videos with Hierarchical Transformer
by: Osman, Nada, et al.
Published: (2024)

DivCon: Divide and Conquer for Complex Numerical and Spatial Reasoning in Text-to-Image Generation
by: Jia, Yuhao, et al.
Published: (2024)

Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension
by: Xu, Haoran, et al.
Published: (2026)

Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields
by: Ma, Rongkai, et al.
Published: (2024)

Incremental Human-Object Interaction Detection with Invariant Relation Representation Learning
by: Wei, Yana, et al.
Published: (2025)