Research map / Continual learning / Class-incremental
Focus, Align, and Sustain: Counteracting Gradient Dilution in Incremental Object Detection
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object Detection (AAAI 2026 · similarity 0.90)
- Boosting Vision-Language Models Towards Cross-Domain Incremental Object Detection (CVPR 2026 · similarity 0.89)
- Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector (ICML 2025 · similarity 0.87)
- DCA: Dividing and Conquering Amnesia in Incremental Object Detection (AAAI 2025 · similarity 0.87)
- Revisiting Generative Replay for Class Incremental Object Detection (CVPR 2025 · similarity 0.86)
- GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence Distillation (AAAI 2025 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
